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List of works by 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

scientific article published on 01 June 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

scientific article published in 2022

A comparison of methods for multiclass support vector machines

scientific article published on 01 January 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

scientific article published on 01 January 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

scientific article published in July 2006

A study on reduced support vector machines

scientific article published in January 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

scientific article published in May 2004

Asymptotic Behaviors of Support Vector Machines with Gaussian Kernel

scientific article published on 01 July 2003

Asymptotic convergence of an SMO algorithm without any assumptions

scientific article published in January 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.

scientific article published in May 2013

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

scientific article published on 4 December 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

scientific article (publication date: 11 November 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"

scientific article published on 01 January 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

scientific article

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.

scientific article

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

scientific article published in November 2007

On the convergence of the decomposition method for support vector machines

scientific article published in January 2001

Parallel Spectral Clustering

Parallel spectral clustering in distributed systems

scientific article published in March 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

scientific article

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

scientific article

Projected gradient methods for nonnegative matrix factorization

scientific article (publication date: October 2007)

Radius margin bounds for support vector machines with the RBF kernel

scientific article published in November 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

scientific article

The analysis of decomposition methods for support vector machines

scientific article published in January 2000

Training nu-support vector regression: theory and algorithms

scientific article published in August 2002

Training v-Support Vector Classifiers: Theory and Algorithms

scientific article published on 01 September 2001

Trust region Newton methods for large-scale logistic regression

scholarly article published 2007

Warm Start for Parameter Selection of Linear Classifiers

article

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