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Lista de obras de John Oommen

A Bayesian Learning Automata-Based Distributed Channel Selection Scheme for Cognitive Radio Networks

artículo científico publicado en 2014

A Cluster Analysis of Stock Market Data Using Hierarchical SOMs

A Conclusive Analysis of the Finite-Time Behavior of the Discretized Pursuit Learning Automaton

artículo científico publicado en 2019

A Fast Computation of Inter-class Overlap Measures Using Prototype Reduction Schemes

A Fast Heuristic Solution for the Commons Game

A Fault-Tolerant Routing Algorithm for Mobile Ad Hoc Networks Using a Stochastic Learning-Based Weak Estimation Procedure

A Geometrical Approach to Polygonal Dissimilarity and Shape Matching ⬇️

artículo científico publicado el 1 de junio de 1982

A Hierarchical Learning Scheme for Solving the Stochastic Point Location Problem

A Hierarchy of Twofold Resource Allocation Automata Supporting Optimal Sampling

A Hierarchy of Twofold Resource Allocation Automata Supporting Optimal Web Polling

A Higher-Fidelity Frugal Quantile Estimator

A Kohonen-like decomposition method for the Euclidean traveling salesman problem-KNIES/spl I.bar/DECOMPOSE.

artículo científico publicado en 2003

A Learning Automata Based Solution to Service Selection in Stochastic Environments

article published in 2010

A Learning Automaton Solution to the Stochastic Minimum-Spanning Circle Problem

A Learning Automaton-Based Scheme for Scheduling Domestic Shiftable Loads in Smart Grids

A New Paradigm for Pattern Classification: Nearest Border Techniques

A New Technique for Enhancing Linked-List Data Retrieval: Reorganize Data Using Artifically Synthesized Queries

A New Tool for the Modeling of AI and Machine Learning Applications: Random Walk-Jump Processes

scholarly article by Anis Yazidi et al published 2011 in Lecture Notes in Computer Science

A Novel Border Identification Algorithm Based on an “Anti-Bayesian” Paradigm

A Novel Clustering Algorithm Based on a Non-parametric “Anti-Bayesian” Paradigm

A Novel Framework for Self-Organizing Lists in Environments with Locality of Reference: Lists-on-Lists

A Novel Multidimensional Scaling Technique for Mapping Word-Of-Mouth Discussions

A Short Note on Doubly-Linked List Reorganizing Heuristics

A Stochastic Random-Races Algorithm for Routing in MPLS Traffic Engineering

A Stochastic Search on the Line-Based Solution to Discretized Estimation

A User-Centric Approach for Personalized Service Provisioning in Pervasive Environments

A brief taxonomy and ranking of creative prototype reduction schemes

A common basis for similarity measures involving two strings†

A fast and efficient nearly-optimal adaptive Fano coding scheme

A fast and efficient solution to the Capacity Assignment problem using discretized learning automata

A formal analysis of why heuristic functions work

A formal proof of the ε-optimality of absorbing continuous pursuit algorithms using the theory of regular functions

A formal proof of the 𝜖-optimality of discretized pursuit algorithms

A formal theory for optimal and information theoretic syntactic pattern recognition

scholarly article by B.J. Oommen & R.L. Kashyap published August 1998 in Pattern Recognition

A new approach to adaptive encoding data using self-organizing data structures

scholarly article published November 2007

A novel Stochastic Discretized Weak Estimator operating in non-stationary environments

scholarly article published January 2012

A novel abstraction for swarm intelligence: particle field optimization

A novel look-ahead optimization strategy for trie-based approximate string matching

A novel strategy for solving the stochastic point location problem using a hierarchical searching scheme

artículo científico publicado en 2014

A novel technique for stochastic root-finding: Enhancing the search with adaptive d-ary search

artículo científico publicado en 2017

A self-organizing method for map reconstruction

scholarly article published 2003

A solution to the stochastic point location problem in metalevel nonstationary environments

artículo científico publicado en 2008

A survey on statistical disclosure control and micro-aggregation techniques for secure statistical databases

Achieving Fair Load Balancing by Invoking a Learning Automata-Based Two-Time-Scale Separation Paradigm

artículo científico publicado en 2020

Achieving Intelligent Traffic-Aware Consolidation of Virtual Machines in a Data Center Using Learning Automata

Achieving Unbounded Resolution inFinitePlayer Goore Games Using Stochastic Automata, and Its Applications

Achieving microaggregation for secure statistical databases using fixed-structure partitioning-based learning automata

artículo científico publicado en 2009

Adachi-like chaotic neural networks requiring linear-time computations by enforcing a tree-shaped topology

artículo científico publicado en 2009

Adaptive learning mechanisms for ordering actions using random races

Adaptive linear list reorganization under a generalized query system

Adaptive structuring of binary search trees using conditional rotations

article published in 1993

An AI-Based Causal Strategy for Securing Statistical Databases Using Micro-aggregation

An Adaptive Approach to Learning the Preferences of Users in a Social Network Using Weak Estimators

An Application of a Game of Discrete Generalised Pursuit Automata to Solve a Multi-Constraint Partitioning Problem

An Efficient Geometric Solution to the Minimum Spanning Circle Problem

An Enhanced Tree-Shaped Adachi-Like Chaotic Neural Network Requiring Linear-Time Computations

An adaptive learning solution to the keyboard optimization problem

An adaptive learning-like solution of random early detection for congestion avoidance in computer networks

An effective algorithm for string correction using generalized edit distances—I. Description of the algorithm and its optimality

An effective algorithm for string correction using generalized edit distance—II. Computational complexity of the algorithm and some applications

An efficient compression scheme for data communication which uses a new family of self-organizing binary search trees

An efficient dynamic algorithm for maintaining all-pairs shortest paths in stochastic networks

An efficient pursuit automata approach for estimating stable all-pairs shortest paths in stochastic network environments

article

An intelligent architecture for service provisioning in pervasive environments

Anomaly Detection in Dynamic Systems Using Weak Estimators

Anomaly detection using weak estimators

Arbitrary distance function estimation using discrete vector quantization

Automata learning and intelligent tertiary searching for stochastic point location

artículo científico publicado en 1998

Benchmarking attribute cardinality maps for database systems using the TPC-D specifications.

artículo científico publicado en 2003

Breadth-first search strategies for trie-based syntactic pattern recognition

scholarly article by John Oommen & Ghada Badr published 6 October 2006 in Pattern Analysis and Applications

Breaking substitution cyphers using stochastic automata

article published in 1993

Case based measles surveillance in Pune: evidence to guide current and future measles control and elimination efforts in India

artículo científico publicado en 2014

Challenging Established Move Ordering Strategies with Adaptive Data Structures

Challenging state-of-the-art move ordering with Adaptive Data Structures

Channel selection in Cognitive Radio Networks: A Switchable Bayesian Learning Automata approach

Chaotic Pattern Recognition: The Spectrum of Properties of the Adachi Neural Network

scholarly article by Ke Qin & John Oommen published 2008 in Lecture Notes in Computer Science

Chaotic and pattern recognition properties of a network of Logistic neurons

scholarly article published 2010

Chernoff-Based Multi-class Pairwise Linear Dimensionality Reduction

Classification of Multi-dimensional Distributions Using Order Statistics Criteria

Concept Drift Detection Using Online Histogram-Based Bayesian Classifiers

Continuous and discretized pursuit learning schemes: various algorithms and their comparison.

artículo científico publicado en 2001

Continuous learning automata solutions to the capacity assignment problem

Corrigendum to three papers that deal with “Anti”-Bayesian Pattern Recognition [Pattern Recognition]

scholarly article by A. Thomas & John Oommen published June 2014 in Pattern Recognition

Cryptanalysis of a Cryptographic Algorithm that Utilizes Chaotic Neural Networks

Cybernetics and Learning Automata

Designing syntactic pattern classifiers using vector quantization and parametric string editing.

artículo científico publicado en 1999

Desynchronizing a chaotic pattern recognition neural network to model inaccurate perception

artículo científico publicado en 2007

Determining stochastic dependence for normally distributed vectors using the chi-squared metric

Deterministic Majority filters applied to stochastic sorting

Deterministic learning automata solutions to the equipartitioning problem

Discrete vector quantization for arbitrary distance function estimation

artículo científico publicado en 1998

Discretized Bayesian Pursuit – A New Scheme for Reinforcement Learning

scholarly article by Xuan Zhang et al published 2012 in Lecture Notes in Computer Science

Discretized learning automata solutions to the capacity assignment problem for prioritized networks.

artículo científico publicado en 2002

Dynamic Ordering of Firewall Rules Using a Novel Swapping Window-based Paradigm

Dynamic algorithms for the shortest path routing problem: learning automata-based solutions

artículo científico publicado en 2005

Efficient Adaptive Data Compression Using Fano Binary Search Trees

Emerging Trends in Machine Learning: Classification of Stochastically Episodic Events

scholarly article published 2013

Enhancing English-Japanese Translation Using Syntactic Pattern Recognition Methods

scholarly article by Thomas McMahon & John Oommen published 7 May 2017 in Advances in Intelligent Systems and Computing

Enhancing History-Based Move Ordering in Game Playing Using Adaptive Data Structures

Enhancing prototype reduction schemes with LVQ3-type algorithms

scholarly article by Sang-Woon Kim & B.J. Oommen published May 2003 in Pattern Recognition

Enhancing prototype reduction schemes with recursion: a method applicable for "large" data sets.

artículo científico publicado en 2004

Ergodic Learning Automata Capable of Incorporating a Priori Information

Estimation of distributions involving unobservable events: the case of optimal search with unknown Target Distributions

Fast Learning Automaton-Based Image Examination and Retrieval

Fault-tolerant routing in adversarial mobile ad hoc networks: an efficient route estimation scheme for non-stationary environments

article by John Oommen & Sudip Misra published 10 November 2009 in Telecommunication Systems

GPSPA: a new adaptive algorithm for maintaining shortest path routing trees in stochastic networks

article published in 2004

Generalized Bayesian Pursuit: A Novel Scheme for Multi-Armed Bernoulli Bandit Problems

Generalized pursuit learning algorithms for shortest path routing tree computation

scholarly article

Generalized pursuit learning schemes: new families of continuous and discretized learning automata.

artículo científico publicado en 2002

Graph partitioning using learning automata

Greedy adaptive Fano coding

Higher-Fidelity Frugal and Accurate Quantile Estimation Using a Novel Incremental Discretized Paradigm

Histogram methods in query optimization: the relation between accuracy and optimality

Identifying Unreliable Sensors Without a Knowledge of the Ground Truth in Deceptive Environments

Imposing tree-based topologies onto self organizing maps

article published in 2011

Investigating schizophrenia using local connectivity considerations within the piriform cortex

Keyboard optimization using genetic techniques

Language Detection and Tracking in Multilingual Documents Using Weak Estimators

Large-scale neuro-modeling for understanding and explaining some brain-related chaotic behavior

Learning Automata Based Intelligent Tutorial-like System

Learning Automata-Based Solutions to Stochastic Nonlinear Resource Allocation Problems

Learning Automaton Based On-Line Discovery and Tracking of Spatio-temporal Event Patterns

Learning automata processing ergodicity of the mean: The two-action case

Learning automata-based solutions to the nonlinear fractional knapsack problem with applications to optimal resource allocation

artículo científico publicado en 2007

Learning automata-based solutions to the optimal web polling problem modelled as a nonlinear fractional knapsack problem

Learning-automaton-based online discovery and tracking of spatiotemporal event patterns

artículo científico publicado en 2013

List Organizing Strategies Using Stochastic Move-to-Front and Stochastic Move-to-Rear Operations

Logistic Neural Networks: Their chaotic and pattern recognition properties

scholarly article by Qin Ke & John Oommen published February 2014 in Neurocomputing

Mixture decomposition for distributions from the exponential family using a generalized method of moments

Modeling a Teacher in a Tutorial-like System Using Learning Automata

Modeling a student's behavior in a tutorial-like system using learning automata.

artículo científico publicado en 2009

Modeling a student-classroom interaction in a tutorial-like system using learning automata.

artículo científico publicado en 2010

Modeling the “learning process” of the teacher in a tutorial-like system using learning automata

artículo científico publicado en 2013

Moment-preserving piecewise linear approximations of signals and images

Multi-class pairwise linear dimensionality reduction using heteroscedastic schemes

scholarly article by Luis Rueda et al published July 2010 in Pattern Recognition

Multinomial Sequence Based Estimation Using Contiguous Subsequences of Length Three

Networking logistic neurons can yield chaotic and pattern recognition properties

scholarly article published September 2011

New Algorithms for Maintaining All-Pairs Shortest Paths

scholarly article

Noisy subsequence recognition using constrained string editing involving substitutions, insertions, deletions and generalized transpositions

article by John Oommen & R. K. S. Loke published 1995 in Lecture Notes in Computer Science

Novel AI Strategies for Multi-Player Games at Intermediate Board States

Novel Discretized Weak Estimators Based on the Principles of the Stochastic Search on the Line Problem

artículo científico publicado en 2016

Novel Distance Estimation Methods Using “Stochastic Learning on the Line” Strategies

Novel Results on Random Walk-Jump Chains That Possess Tree-Based Transitions

Novel threat-based AI strategies that incorporate adaptive data structures for multi-player board games

Numerical Results on the Hodgkin-Huxley Neural Network: Spikes Annihilation

Numerical similarity and dissimilarity measures between two trees

Occlusion-based estimation of independent multinomial random variables using occurrence and sequential information

article published in 2017

On Achieving History-Based Move Ordering in Adversarial Board Games Using Adaptive Data Structures

On Achieving Near-Optimal “Anti-Bayesian” Order Statistics-Based Classification for Asymmetric Exponential Distributions

On Addressing the Challenges of Complex Stochastic Games Using “Representative” Moves

On Allocating Limited Sampling Resources Using a Learning Automata-based Solution to the Fractional Knapsack Problem

On Distinguishing between Reliable and Unreliable Sensors Without a Knowledge of the Ground Truth

On Enhancing Recent Multi-player Game Playing Strategies Using a Spectrum of Adaptive Data Structures

On Generating Random Permutations with Arbitrary Distributions

On Invoking Transitivity to Enhance the Pursuit -Oriented Object Migration Automata

On Merging the Fields of Neural Networks and Adaptive Data Structures to Yield New Pattern Recognition Methodologies

scholarly article by John Oommen published 2011 in Lecture Notes in Computer Science

On Optimizing Locally Linear Nearest Neighbour Reconstructions Using Prototype Reduction Schemes

On Optimizing the k-Ward Micro-aggregation Technique for Secure Statistical Databases

On Solving the Problem of Identifying Unreliable Sensors Without a Knowledge of the Ground Truth: The Case of Stochastic Environments

artículo científico publicado en 2016

On Using Adaptive Binary Search Trees to Enhance Self Organizing Maps

On Using the Theory of Regular Functions to Prove the ε-Optimality of the Continuous Pursuit Learning Automaton

On Using “Stochastic Learning on the Line” to Design Novel Distance Estimation Methods

On Utilizing Optimal and Information Theoretic Syntactic Modeling for Peptide Classification

On Utilizing Stochastic Learning Weak Estimators for Training and Classification of Patterns with Non-stationary Distributions

article by John Oommen & Luis Rueda published 2005 in Lecture Notes in Computer Science

On Utilizing Stochastic Non-linear Fractional Bin Packing to Resolve Distributed Web Crawling

On achieving intelligent traffic-aware consolidation of virtual machines in a data center using Learning Automata

On achieving semi-supervised pattern recognition by utilizing tree-based SOMs

scholarly article by César A. Astudillo & John Oommen published January 2013 in Pattern Recognition

On enhancing the object migration automaton using the Pursuit paradigm

On incorporating the paradigms of discretization and Bayesian estimation to create a new family of pursuit learning automata

On optimal pairwise linear classifiers for normal distributions: the two-dimensional case

On optimizing firewall performance in dynamic networks by invoking a novel swapping window -based paradigm

On optimizing syntactic pattern recognition using tries and AI-based heuristic-search strategies

artículo científico publicado en 2006

On terrain acquisition by a point robot amidst polyhedral obstacles

On the Analysis of a Random Interleaving Walk–Jump Process with Applications to Testing

On the Cryptanalysis of Two Cryptographic Algorithms That Utilize Chaotic Neural Networks

On the Existence and Heuristic Computation of the Solution for the Commons Game

On the Foundations of Multinomial Sequence Based Estimation

On the Online Classification of Data Streams Using Weak Estimators

On the analysis of a new Markov chain which has applications in AI and machine learning

scholarly article published May 2011

On the analysis of a random walk-jump chain with tree-based transitions and its applications to faulty dichotomous search

On the classification of dynamical data streams using novel “Anti-Bayesian” techniques

On the estimation of independent binomial random variables using occurrence and sequential information

On the pattern recognition of noisy subsequence trees

scholarly article by B.J. Oommen & R.K.S. Loke published 2001 in IEEE Transactions on Pattern Analysis and Machine Intelligence

On the problem of translating an elliptic object through a workspace of elliptic obstacles

article published in 1987

On using conditional rotations and randomized heuristics for self-organizing ternary search tries

On using novel “Anti-Bayesian” techniques for the classification of dynamical data streams

On using prototype reduction schemes and classifier fusion strategies to optimize kernel-based nonlinear subspace methods.

artículo científico publicado en 2005

On using prototype reduction schemes to enhance the computation of volume-based inter-class overlap measures

scholarly article by Sang-Woon Kim & John Oommen published November 2009 in Pattern Recognition

On using prototype reduction schemes to optimize dissimilarity-based classification

On using prototype reduction schemes to optimize kernel-based fisher discriminant analysis

artículo científico publicado en 2008

On using prototype reduction schemes to optimize locally linear reconstruction methods

scholarly article by Sang-Woon Kim & John Oommen published January 2012 in Pattern Recognition

On using the chi-squared metric for determining stochastic dependence

On utilizing association and interaction concepts for enhancing microaggregation in secure statistical databases.

artículo científico publicado en 2009

On utilizing dependence-based information to enhance micro-aggregation for secure statistical databases

On utilizing search methods to select subspace dimensions for kernel-based nonlinear subspace classifiers

artículo científico publicado en 2005

Optimal and information theoretic syntactic pattern recognition for traditional errors

scholarly article by John Oommen & R. L. Kashyap published 1996 in Lecture Notes in Computer Science

Optimal sampling for estimation with constrained resources using a learning automaton-based solution for the nonlinear fractional knapsack problem

article by Ole-Christoffer Granmo & John Oommen published 24 April 2010 in Applied Intelligence

Optimal “Anti-Bayesian” Parametric Pattern Classification Using Order Statistics Criteria

Optimal “Anti-Bayesian” Parametric Pattern Classification for the Exponential Family Using Order Statistics Criteria

Optimizing channel selection for cognitive radio networks using a distributed Bayesian learning automata-based approach

Order statistics-based parametric classification for multi-dimensional distributions

scholarly article by A. Thomas & John Oommen published December 2013 in Pattern Recognition

Parameter learning from stochastic teachers and stochastic compulsive liars

artículo científico publicado en 2006

Partitioning in signal processing using the object migration automaton and the pursuit paradigm

scholarly article published September 2017

Pattern Recognition using the TTOCONROT

scholarly article by César A. Astudillo & John Oommen published 2015 in Lecture Notes in Computer Science

Pattern classification using a new border identification paradigm: The nearest border technique

Pattern recognition of strings with substitutions, insertions, deletions and generalized transpositions

scholarly article by B.J. Oommen & R.K.S. Loke published May 1997 in Pattern Recognition

Periodicity and stability issues of a chaotic pattern recognition neural network

scholarly article by Dragos Calitoiu et al published 13 February 2007 in Pattern Analysis and Applications

Potential AI Strategies to Solve the Commons Game: A Position Paper

article by Petro Verkhogliad et al published 2010 in Lecture Notes in Computer Science

Probabilistic syntactic pattern recognition for traditional and generalized transposition errors

scholarly article published 1996

Prototype reduction schemes applicable for non-stationary data sets

article by Sang-Woon Kim & John Oommen published February 2006 in Pattern Recognition

Random early detection for congestion avoidance in wired networks: a discretized pursuit learning-automata-like solution.

artículo científico publicado en 2010

Recent advances in Learning Automata systems

Recognition of Noisy Subsequences Using Constrained Edit Distances

article by John Oommen published September 1987 in IEEE Transactions on Pattern Analysis and Machine Intelligence

Recognition of noisy subsequences using constrained edit distances.

artículo científico publicado en 1987

Recognizing sources of random strings

Robot navigation in unknown terrains using learned visibility graphs. Part I: The disjoint convex obstacle case

Routing Bandwidth-Guaranteed Paths in MPLS Traffic Engineering: A Multiple Race Track Learning Approach

SEATER: a simulation environment using learning automata for telephone traffic routing

SEATER: an object-oriented simulation environment using learning automata for telephone traffic routing

Scale Preserving Smoothing of Polygons

Scale preserving smoothing of polygons.

artículo científico publicado en 1983

Scheduling Domestic Shiftable Loads in Smart Grids: A Learning Automata-Based Scheme

Self-Organizing Doubly-Linked Lists

Self-organizing maps whose topologies can be learned with adaptive binary search trees using conditional rotations ⬇️

scholarly article by César A. Astudillo & John Oommen published January 2014 in Pattern Recognition

Semi-Supervised Classification Using Tree-Based Self-Organizing Maps

Service selection in stochastic environments: a learning-automaton based solution

Similarity measures for sets of strings†

Solving Stochastic Nonlinear Resource Allocation Problems Using a Hierarchy of Twofold Resource Allocation Automata

Solving Stochastic Root-Finding with adaptive d-ary search

Solving multiconstraint assignment problems using learning automata

artículo científico publicado en 2010

Space and depth-related enhancements of the history-ADS strategy in game playing

Spelling correction using probabilistic methods

Spikes annihilation in the Hodgkin-Huxley neuron

artículo científico publicado en 2008

Stochastic Learning-based Weak Estimation and Its Applications

Stochastic automata-based estimators for adaptively compressing files with nonstationary distributions

artículo científico publicado en 2006

Stochastic discretized learning-based weak estimation: a novel estimation method for non-stationary environments

scholarly article by Anis Yazidi et al published December 2016 in Pattern Recognition

Stochastic learning-based weak estimation of multinomial random variables and its applications to pattern recognition in non-stationary environments

scholarly article by John Oommen & Luis Rueda published March 2006 in Pattern Recognition

Stochastic searching on the line and its applications to parameter learning in nonlinear optimization

artículo científico publicado en 1997

String alignment with substitution, insertion, deletion, squashing, and expansion operations

String taxonomy using learning automata

artículo científico publicado en 1997

Switching models for nonstationary random environments

THE USE OF WEAK ESTIMATORS TO ACHIEVE LANGUAGE DETECTION AND TRACKING IN MULTILINGUAL DOCUMENTS

Text Classification Using Novel “Anti-Bayesian” Techniques

Text Classification Using “Anti”-Bayesian Quantile Statistics-Based Classifiers

The Bayesian Pursuit Algorithm: A New Family of Estimator Learning Automata

The Efficiency of Histogram-like Techniques for Database Query Optimization

The Hierarchical Continuous Pursuit Learning Automation for Large Numbers of Actions

The Hierarchical Continuous Pursuit Learning Automation: A Novel Scheme for Environments With Large Numbers of Actions

scientific article published on 11 April 2019

The Kohonen network incorporating explicit statistics and its application to the travelling salesman problem

artículo científico publicado en 1999

The Noisy Substring Matching Problem

The Pursuit Automaton Approach for Estimating All-Pairs Shortest Paths in Dynamically Changing Networks

article

The Theory and Applications of the Stochastic Point Location Problem

The asymptotic optimality of discretized linear reward-inaction learning automata

The design of absorbing Bayesian pursuit algorithms and the formal analyses of their ε-optimality

The entire range of Chaotic pattern recognition properties possessed by the Adachi neural network1

scholarly article by Ke Qin & John Oommen published 23 December 2011 in Intelligent Decision Technologies

The fundamental theory of optimal “Anti-Bayesian” parametric pattern classification using order statistics criteria

scholarly article by A. Thomas & John Oommen published January 2013 in Pattern Recognition

The normalized string editing problem revisited

Time-Varying Prototype Reduction Schemes Applicable for Non-stationary Data Sets

article by Sang-Woon Kim & John Oommen published 2005 in Lecture Notes in Computer Science

Topology-oriented self-organizing maps: a survey

Towards a Learning Automata Solution to the Multi-Constraint Partitioning Problem

Tracking the Preferences of Users Using Weak Estimators

Trajectory Planning of Robot Manipulators in Noisy Work Spaces Using Stochastic Automata

Transforming Ill-Continued Constrained Problems using Projections

article by John Oommen published 1 March 1993 in The Computer Journal

Ultimate Order Statistics-Based Prototype Reduction Schemes

Use of amniotic membrane in dermatology

artículo científico publicado en 2010

Using Artificial Intelligence Techniques for Strategy Generation in the Commons Game

scholarly article by Petro Verkhogliad & B. John Oommen published 2011 in Lecture Notes in Computer Science

Using Learning Automata to Model a Domain in a Tutorial-Like System

Using Stochastic AI Techniques to Achieve Unbounded Resolution in Finite Player Goore Games and its Applications

Using learning automata to model a student-classroom interaction in a tutorial-like system

Using learning automata to model the behavior of a teacher in a tutorial-like system

Using learning automata to model the “learning process” of the teacher in a tutorial-like system

Using the Theory of Regular Functions to Formally Prove the ε-Optimality of Discretized Pursuit Learning Algorithms

“Anti-Bayesian” Flat and Hierarchical Clustering Using Symmetric Quantiloids

“Anti-Bayesian” flat and hierarchical clustering using symmetric quantiloids

“Anti-Bayesian” parametric pattern classification using order statistics criteria for some members of the exponential family

scholarly article by John Oommen & A. Thomas published January 2014 in Pattern Recognition

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