Lista de obras - Andrew W. Moore - Dominio Público Uruguay

A Bayesian Spatial Scan Statistic ⬇️

artículo científico publicado en 2006

A Fast Multi-Resolution Method for Detection of Significant Spatial Disease Clusters ⬇️

artículo científico publicado en 2004

A VLSI Neural Network for Color Constancy ⬇️

article by Andrew W. Moore et al published 1991 in Advances in Neural Information Processing Systems 3

Active Learning for Anomaly and Rare-Category Detection ⬇️

artículo científico publicado en 2005

Algorithms for rapid outbreak detection: a research synthesis

artículo científico publicado en 2005

An Investigation of Practical Approximate Nearest Neighbor Algorithms ⬇️

artículo científico publicado en 2005

Automated syndromic surveillance for the 2002 Winter Olympics

artículo científico publicado en 2003

Barycentric Interpolators for Continuous Space and Time Reinforcement Learning ⬇️

scholarly article by Rémi Munos & Andrew W. Moore published 1999 in Advances in Neural Information Processing Systems 11

Bayesian neural networks for internet traffic classification

artículo científico publicado en 2007

Challenge: Resolving Data Center Power Bill Disputes: The Energy-Performance Trade-Offs of Consolidation

Detecting Significant Multidimensional Spatial Clusters ⬇️

artículo científico publicado en 2005

Dual-Tree Fast Gauss Transforms ⬇️

artículo científico publicado en 2006

Dynamic Social Network Analysis using Latent Space Models ⬇️

artículo científico publicado en 2006

Fast Information Value for Graphical Models ⬇️

artículo científico publicado en 2006

Fast, Robust Adaptive Control by Learning only Forward Models ⬇️

artículo científico publicado en 1992

From photons to big-data applications: terminating terabits

artículo científico publicado en 2016

Generalization in Reinforcement Learning: Safely Approximating the Value Function ⬇️

artículo científico publicado en 1995

Gradient Descent for General Reinforcement Learning ⬇️

scholarly article by Leemon C. Baird III & Andrew W. Moore published 1999 in Advances in Neural Information Processing Systems 11

Hoeffding Races: Accelerating Model Selection Search for Classification and Function Approximation ⬇️

artículo científico publicado en 1994

Internet traffic classification using bayesian analysis techniques

artículo científico publicado en 2005

Low power optical transceivers for switched interconnect networks

Memory-Based Methods for Regression and Classification ⬇️

artículo científico publicado en 1994

Memory-Based Reinforcement Learning: Efficient Computation with Prioritized Sweeping ⬇️

artículo científico publicado en 1993

Memory-based Stochastic Optimization ⬇️

artículo científico publicado en 1996

New Algorithms for Efficient High Dimensional Non-parametric Classification ⬇️

artículo científico publicado en 2004

SDSS-RASS: Next Generation of Cluster-Finding Algorithms

Signposts

The Parti-Game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-Spaces ⬇️

artículo científico publicado en 1994

Using Tarjan's Red Rule for Fast Dependency Tree Construction ⬇️

artículo científico publicado en 2003

Variable KD-Tree Algorithms for Spatial Pattern Search and Discovery ⬇️

artículo científico publicado en 2006

Lista de obras de Andrew W. Moore

A Bayesian Spatial Scan Statistic ⬇️

A Fast Multi-Resolution Method for Detection of Significant Spatial Disease Clusters ⬇️

A VLSI Neural Network for Color Constancy ⬇️

Active Learning for Anomaly and Rare-Category Detection ⬇️

Algorithms for rapid outbreak detection: a research synthesis

An Investigation of Practical Approximate Nearest Neighbor Algorithms ⬇️

Automated syndromic surveillance for the 2002 Winter Olympics

Barycentric Interpolators for Continuous Space and Time Reinforcement Learning ⬇️

Bayesian neural networks for internet traffic classification

Challenge: Resolving Data Center Power Bill Disputes: The Energy-Performance Trade-Offs of Consolidation

Detecting Significant Multidimensional Spatial Clusters ⬇️

Dual-Tree Fast Gauss Transforms ⬇️

Dynamic Social Network Analysis using Latent Space Models ⬇️

Fast Information Value for Graphical Models ⬇️

Fast, Robust Adaptive Control by Learning only Forward Models ⬇️

From photons to big-data applications: terminating terabits

Generalization in Reinforcement Learning: Safely Approximating the Value Function ⬇️

Gradient Descent for General Reinforcement Learning ⬇️

Hoeffding Races: Accelerating Model Selection Search for Classification and Function Approximation ⬇️

Internet traffic classification using bayesian analysis techniques

Low power optical transceivers for switched interconnect networks

Memory-Based Methods for Regression and Classification ⬇️

Memory-Based Reinforcement Learning: Efficient Computation with Prioritized Sweeping ⬇️

Memory-based Stochastic Optimization ⬇️

New Algorithms for Efficient High Dimensional Non-parametric Classification ⬇️

SDSS-RASS: Next Generation of Cluster-Finding Algorithms

Signposts

Signposts

The Parti-Game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-Spaces ⬇️

Using Tarjan's Red Rule for Fast Dependency Tree Construction ⬇️

Variable KD-Tree Algorithms for Spatial Pattern Search and Discovery ⬇️

Very Fast EM-Based Mixture Model Clustering Using Multiresolution Kd-Trees ⬇️

`N-Body' Problems in Statistical Learning ⬇️