Lista de obras - Chih-Jen Lin - Dominio Público Uruguay

A Fast Parallel Stochastic Gradient Method for Matrix Factorization in Shared Memory Systems

A Learning-Rate Schedule for Stochastic Gradient Methods to Matrix Factorization

A Note on the Decomposition Methods for Support Vector Regression

artículo científico publicado en 2002

A Study on L2-Loss (Squared Hinge-Loss) Multiclass SVM

scientific article published on 07 March 2013

A Study on Truncated Newton Methods for Linear Classification

artículo científico publicado en 2022

A comparison of methods for multiclass support vector machines

artículo científico publicado en 2002

A fast parallel SGD for matrix factorization in shared memory systems

scholarly article published 2013

A formal analysis of stopping criteria of decomposition methods for support vector machines

artículo científico publicado en 2002

A note on Platt’s probabilistic outputs for support vector machines

A sequential dual method for large scale multi-class linear svms

A study on SMO-type decomposition methods for support vector machines

artículo científico publicado en 2006

A study on reduced support vector machines

artículo científico publicado en 2003

A tutorial onν-support vector machines

Active learning strategies using SVMs

Adaptive deterministic annealing for two applications: competing SVR of switching dynamics and travelling salesman problems

article

An improved GLMNET for l1-regularized logistic regression

Analysis of Nonstationary Time Series Using Support Vector Machines

Analysis of switching dynamics with competing support vector machines

artículo científico publicado en 2004

Asymptotic Behaviors of Support Vector Machines with Gaussian Kernel

artículo científico publicado en 2003

Asymptotic convergence of an SMO algorithm without any assumptions

artículo científico publicado en 2002

Combination of feature engineering and ranking models for paper-author identification in KDD Cup 2013

article

Comparison of feature selection methods for cross-laboratory microarray analysis.

artículo científico publicado en 2013

Cross-generation and cross-laboratory predictions of Affymetrix microarrays by rank-based methods

artículo científico publicado en 2007

Decomposition Methods for Linear Support Vector Machines

Dense Non-rigid Point-Matching Using Random Projections

Distributed Newton Methods for Regularized Logistic Regression

Dual coordinate descent methods for logistic regression and maximum entropy models

artículo científico publicado en 2010

Effective string processing and matching for author disambiguation

Efficient test-point selection for scan-based BIST

article published in 1998

Errata to "On the convergence of the decomposition method for support vector machines"

artículo científico publicado en 2002

Fast Matrix-Vector Multiplications for Large-Scale Logistic Regression on Shared-Memory Systems

Formulations of Support Vector Machines: A Note from an Optimization Point of View

Improved derivation efficiency and pluripotency of stem cells from the refractory inbred C57BL/6 mouse strain by small molecules

artículo científico publicado en 2014

Incremental and decremental training for linear classification

LIBSVM

Large Linear Classification When Data Cannot Fit in Memory

Large linear classification when data cannot fit in memory

Large-Scale Spectral Clustering with Map Reduce and MPI

scholarly article

Large-Scale Video Summarization Using Web-Image Priors

Large-scale Kernel RankSVM

article published in 2014

Large-scale linear rankSVM.

artículo científico publicado en 2014

Large-scale logistic regression and linear support vector machines using spark

Leave-One-Out Bounds for Support Vector Regression Model Selection

On the Convergence of Multiplicative Update Algorithms for Nonnegative Matrix Factorization

artículo científico publicado en 2007

On the convergence of the decomposition method for support vector machines

artículo científico publicado en 2001

Parallel Spectral Clustering

Parallel spectral clustering in distributed systems

artículo científico publicado en 2011

Parameter Selection for Linear Support Vector Regression

scientific article published on 13 February 2020

Predicting subcellular localization of proteins for Gram-negative bacteria by support vector machines based on n-peptide compositions

artículo científico publicado en 2004

Prediction of the bonding states of cysteines using the support vector machines based on multiple feature vectors and cysteine state sequences

artículo científico publicado en 2004

Projected gradient methods for nonnegative matrix factorization

artículo científico publicado en 2007

Radius margin bounds for support vector machines with the RBF kernel

artículo científico publicado en 2003

Radius margin bounds for support vector machines with the RBF kernel

Ranking individuals by group comparisons

Recent Advances of Large-Scale Linear Classification

Solving quadratic semi-infinite programming problems by using relaxed cutting-plane scheme

Special issue on support vector machines

Subsampled Hessian Newton Methods for Supervised Learning

artículo científico publicado en 2015

The analysis of decomposition methods for support vector machines

artículo científico publicado en 2000

Training nu-support vector regression: theory and algorithms

artículo científico publicado en 2002

Training v-Support Vector Classifiers: Theory and Algorithms

artículo científico publicado en 2001

Trust region Newton methods for large-scale logistic regression

scholarly article published 2007

Warm Start for Parameter Selection of Linear Classifiers

article

Lista de obras de Chih-Jen Lin

A Fast Parallel Stochastic Gradient Method for Matrix Factorization in Shared Memory Systems

A Learning-Rate Schedule for Stochastic Gradient Methods to Matrix Factorization

A Note on the Decomposition Methods for Support Vector Regression

A Study on L2-Loss (Squared Hinge-Loss) Multiclass SVM

A Study on Truncated Newton Methods for Linear Classification

A comparison of methods for multiclass support vector machines

A fast parallel SGD for matrix factorization in shared memory systems

A formal analysis of stopping criteria of decomposition methods for support vector machines

A note on Platt’s probabilistic outputs for support vector machines

A sequential dual method for large scale multi-class linear svms

A study on SMO-type decomposition methods for support vector machines

A study on reduced support vector machines

A tutorial onν-support vector machines

Active learning strategies using SVMs

Adaptive deterministic annealing for two applications: competing SVR of switching dynamics and travelling salesman problems

An improved GLMNET for l1-regularized logistic regression

Analysis of Nonstationary Time Series Using Support Vector Machines

Analysis of switching dynamics with competing support vector machines

Asymptotic Behaviors of Support Vector Machines with Gaussian Kernel

Asymptotic convergence of an SMO algorithm without any assumptions

Combination of feature engineering and ranking models for paper-author identification in KDD Cup 2013

Comparison of feature selection methods for cross-laboratory microarray analysis.

Cross-generation and cross-laboratory predictions of Affymetrix microarrays by rank-based methods

Decomposition Methods for Linear Support Vector Machines

Dense Non-rigid Point-Matching Using Random Projections

Distributed Newton Methods for Regularized Logistic Regression

Dual coordinate descent methods for logistic regression and maximum entropy models

Effective string processing and matching for author disambiguation

Efficient test-point selection for scan-based BIST

Errata to "On the convergence of the decomposition method for support vector machines"

Fast Matrix-Vector Multiplications for Large-Scale Logistic Regression on Shared-Memory Systems

Formulations of Support Vector Machines: A Note from an Optimization Point of View

Improved derivation efficiency and pluripotency of stem cells from the refractory inbred C57BL/6 mouse strain by small molecules

Incremental and decremental training for linear classification

LIBSVM

Large Linear Classification When Data Cannot Fit in Memory

Large linear classification when data cannot fit in memory

Large-Scale Spectral Clustering with Map Reduce and MPI

Large-Scale Video Summarization Using Web-Image Priors

Large-scale Kernel RankSVM

Large-scale linear rankSVM.

Large-scale logistic regression and linear support vector machines using spark

Leave-One-Out Bounds for Support Vector Regression Model Selection

On the Convergence of Multiplicative Update Algorithms for Nonnegative Matrix Factorization

On the convergence of the decomposition method for support vector machines

Parallel Spectral Clustering

Parallel spectral clustering in distributed systems

Parameter Selection for Linear Support Vector Regression

Predicting subcellular localization of proteins for Gram-negative bacteria by support vector machines based on n-peptide compositions

Prediction of the bonding states of cysteines using the support vector machines based on multiple feature vectors and cysteine state sequences

Projected gradient methods for nonnegative matrix factorization

Radius margin bounds for support vector machines with the RBF kernel

Radius margin bounds for support vector machines with the RBF kernel

Ranking individuals by group comparisons

Recent Advances of Large-Scale Linear Classification

Solving quadratic semi-infinite programming problems by using relaxed cutting-plane scheme

Special issue on support vector machines

Subsampled Hessian Newton Methods for Supervised Learning

The analysis of decomposition methods for support vector machines

Training nu-support vector regression: theory and algorithms

Training v-Support Vector Classifiers: Theory and Algorithms

Trust region Newton methods for large-scale logistic regression

Warm Start for Parameter Selection of Linear Classifiers