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Chih-Jen Lin
Chih-Jen Lin
Distinguished professor, National Taiwan University and affiliated professor, MBZUAI
Verified email at csie.ntu.edu.tw - Homepage
Title
Cited by
Cited by
Year
LIBSVM: A library for support vector machines
CC Chang, CJ Lin
ACM Transactions on Intelligent Systems and Technology (TIST) 2 (3), 27, 2011
56391*2011
LIBSVM: a Library for Support Vector Machines
C Chang, CJ Lin
56030*2001
LIBSVM: A library for support vector machines
CC Chang, CJ Lin
ACM Transactions on Intelligent Systems and Technology (TIST) 2 (3), 27, 2011
518502011
A comparison of methods for multiclass support vector machines
CW Hsu, CJ Lin
IEEE transactions on Neural Networks 13 (2), 415-425, 2002
106042002
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
100512008
A Practical Guide to Support Vector Classification
CW Hsu
Department of Computer Science, National Taiwan University, 2003
95512003
Probability estimates for multi-class classification by pairwise coupling
TF Wu, CJ Lin, R Weng
Advances in Neural Information Processing Systems 16, 2003
25322003
Asymptotic behaviors of support vector machines with Gaussian kernel
SS Keerthi, CJ Lin
Neural computation 15 (7), 1667-1689, 2003
24182003
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
23992005
Projected gradient methods for nonnegative matrix factorization
CJ Lin
Neural computation 19 (10), 2756-2779, 2007
23142007
Combining SVMs with various feature selection strategies
YW Chen, CJ Lin
Feature extraction: foundations and applications, 315-324, 2006
13292006
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
12272008
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
11692004
A note on Platt’s probabilistic outputs for support vector machines
HT Lin, CJ Lin, RC Weng
Machine learning 68, 267-276, 2007
11382007
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
10092003
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
9922004
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
8642016
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
8332010
Training and testing low-degree polynomial data mappings via linear SVM.
YW Chang, CJ Hsieh, KW Chang, M Ringgaard, CJ Lin
Journal of Machine Learning Research 11 (4), 2010
7592010
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
7562005
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