Chih-Jen Lin
Chih-Jen Lin
Distinguished professor, National Taiwan University and affiliated professor, MBZUAI
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LIBSVM: A library for support vector machines
CC Chang, CJ Lin
ACM Transactions on Intelligent Systems and Technology (TIST) 2 (3), 27, 2011
LIBSVM: a Library for Support Vector Machines
C Chang, CJ Lin
LIBSVM: A library for support vector machines
CC Chang, CJ Lin
ACM Transactions on Intelligent Systems and Technology (TIST) 2 (3), 27, 2011
A comparison of methods for multiclass support vector machines
CW Hsu, CJ Lin
IEEE transactions on Neural Networks 13 (2), 415-425, 2002
LIBLINEAR: A library for large linear classification
RE Fan, KW Chang, CJ Hsieh, XR Wang, CJ Lin
the Journal of machine Learning research 9, 1871-1874, 2008
A practical guide to support vector classification
CW Hsu, CC Chang, CJ Lin
Probability estimates for multi-class classification by pairwise coupling
TF Wu, CJ Lin, R Weng
Advances in Neural Information Processing Systems 16, 2003
Asymptotic behaviors of support vector machines with Gaussian kernel
SS Keerthi, CJ Lin
Neural computation 15 (7), 1667-1689, 2003
Working set selection using second order information for training support vector machines.
RE Fan, PH Chen, CJ Lin, T Joachims
Journal of machine learning research 6 (12), 2005
Projected gradient methods for nonnegative matrix factorization
CJ Lin
Neural computation 19 (10), 2756-2779, 2007
Combining SVMs with various feature selection strategies
YW Chen, CJ Lin
Feature extraction: foundations and applications, 315-324, 2006
A dual coordinate descent method for large-scale linear SVM
CJ Hsieh, KW Chang, CJ Lin, SS Keerthi, S Sundararajan
Proceedings of the 25th international conference on Machine learning, 408-415, 2008
Load forecasting using support vector machines: A study on EUNITE competition 2001
BJ Chen, MW Chang
IEEE transactions on power systems 19 (4), 1821-1830, 2004
A note on Platt’s probabilistic outputs for support vector machines
HT Lin, CJ Lin, RC Weng
Machine learning 68, 267-276, 2007
A study on sigmoid kernels for SVM and the training of non-PSD kernels by SMO-type methods
HT Lin, CJ Lin
Neural Comput 3 (1-32), 16, 2003
Predicting subcellular localization of proteins for Gram‐negative bacteria by support vector machines based on n‐peptide compositions
CS Yu, CJ Lin, JK Hwang
Protein science 13 (5), 1402-1406, 2004
Parallel spectral clustering in distributed systems
WY Chen, Y Song, H Bai, CJ Lin, EY Chang
IEEE transactions on pattern analysis and machine intelligence 33 (3), 568-586, 2010
Field-aware factorization machines for CTR prediction
Y Juan, Y Zhuang, WS Chin, CJ Lin
Proceedings of the 10th ACM conference on recommender systems, 43-50, 2016
Trust region Newton method for large-scale logistic regression.
CJ Lin, RC Weng, SS Keerthi
Journal of Machine Learning Research 9 (4), 2008
A tutorial on ν‐support vector machines
PH Chen, CJ Lin, B Schölkopf
Applied Stochastic Models in Business and Industry 21 (2), 111-136, 2005
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Artículos 1–20