第 1 到 95 筆結果,共 95 筆。
公開日期 | 標題 | 作者 | 來源出版物 | scopus | WOS | 全文 | |
---|---|---|---|---|---|---|---|
1 | 2024 | From SMOTE to Mixup for Deep Imbalanced Classification | Cheng, Wei Chao; Mai, Tan Ha; HSUAN-TIEN LIN | Communications in Computer and Information Science | |||
2 | 2023 | Learning key steps to attack deep reinforcement learning agents | Yu, Chien Min; Chen, Ming Hsin; HSUAN-TIEN LIN | Machine Learning | 1 | 1 | |
3 | 2023 | Reduction from Complementary-Label Learning to Probability Estimates | Lin, Wei I.; HSUAN-TIEN LIN | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 1 | 0 | |
4 | 2022 | Improving Clustering Uncertainty-weighted Embeddings for Active Domain Adaptation | Wu, Sheng Feng; HSUAN-TIEN LIN | Proceedings - 2022 International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2022 | 0 | 0 | |
5 | 2022 | Even the Simplest Baseline Needs Careful Re-investigation: A Case Study on XML-CNN | Chen, Si An; Liu, Jie Jyun; Yang, Tsung Han; HSUAN-TIEN LIN ; CHIH-JEN LIN | NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference | 1 | ||
6 | 2021 | 360-Degree Gaze Estimation in the Wild Using Multiple Zoom Scales | Ashesh; CHU-SONG CHEN ; HSUAN-TIEN LIN | 32nd British Machine Vision Conference, BMVC 2021 | |||
7 | 2021 | Benchmarking Tropical Cyclone Rapid Intensification with Satellite Images and?Attention-Based Deep Models | Bai C.-Y; Chen B.-F; HSUAN-TIEN LIN | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | |||
8 | 2021 | A Unified View of cGANs with and without Classifiers | Chen S.-A; Li C.-L; HSUAN-TIEN LIN | Advances in Neural Information Processing Systems | 2 | ||
9 | 2021 | On Training Sample Memorization: Lessons from Benchmarking Generative Modeling with a Large-scale Competition | Bai C.-Y; Raffel C; Kan W.C.-W.; HSUAN-TIEN LIN | Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining | 5 | 0 | |
10 | 2020 | Learning from Label Proportions with Consistency Regularization | Tsai, Kuen Han; HSUAN-TIEN LIN | Proceedings of Machine Learning Research | 9 | ||
11 | 2020 | Active deep Q-learning with demonstration | Chen, S.-A.; Tangkaratt, V.; Lin, H.-T.; Sugiyama, M.; HSUAN-TIEN LIN | Machine Learning | |||
12 | 2020 | SERIL: Noise adaptive speech enhancement using regularization-based incremental learning | Lee C.-C; Lin Y.-C; Wang H.-M; Tsao Y.; HSUAN-TIEN LIN | Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH | 5 | 0 | |
13 | 2020 | Unbiased risk estimators can mislead: A case study of learning with complementary labels | Chou Y.-T; Niu G; Lin H.-T; Sugiyama M.; HSUAN-TIEN LIN | 37th International Conference on Machine Learning, ICML 2020 | |||
14 | 2020 | Improving unsupervised domain adaptation with representative selection techniques | Chen, I.-T.; HSUAN-TIEN LIN | CEUR Workshop Proceedings | |||
15 | 2020 | Cold-start active learning through self-supervised language modeling | Yuan M; HSUAN-TIEN LIN ; Boyd-Graber J. | EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference | 56 | ||
16 | 2020 | Cost Learning Network for Imbalanced Classification | Tu C.-Y; HSUAN-TIEN LIN | Proceedings - 25th International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2020 | 0 | 0 | |
17 | 2020 | Cost-Sensitive Deep Learning with Layer-Wise Cost Estimation | Chung Y.-A; Yang S.-W; HSUAN-TIEN LIN | Proceedings - 25th International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2020 | 0 | 0 | |
18 | 2019 | Deep Learning with a Rethinking Structure for Multi-label Classification. | Yang, Yao-Yuan; Lin, Yi-An; Chu, Hong-Min; HSUAN-TIEN LIN | Proceedings of The 11th Asian Conference on Machine Learning, ACML 2019, 17-19 November 2019, Nagoya, Japan. | |||
19 | 2019 | Dynamic principal projection for cost-sensitive online multi-label classification | Chu, H.-M.; Huang, K.-H.; HSUAN-TIEN LIN | Machine Learning | |||
20 | 2019 | Advances in cost-sensitive multiclass and multilabel classification | HSUAN-TIEN LIN | Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining | 1 | 0 | |
21 | 2019 | A data-driven probabilistic rainfall-inundation model for flash-flood warnings | Pan, T.-Y. ; Lin, H.-T. ; Liao, H.-Y. | Water (Switzerland) | 9 | 6 | |
22 | 2019 | Attention-based deep tropical cyclone rapid intensification prediction | Bai, C.-Y.; Chen, B.-F.; HSUAN-TIEN LIN | CEUR Workshop Proceedings | |||
23 | 2019 | Annotation cost-sensitive active learning by tree sampling | Tsou, Y.-L.; HSUAN-TIEN LIN | Machine Learning | |||
24 | 2019 | Estimating Tropical Cyclone Intensity by Satellite Imagery Utilizing Convolutional Neural Networks | Chen, Buo-Fu; Chen, Boyo; Lin, Hsuan-Tien; Elsberry, Russell L.; HSUAN-TIEN LIN | Weather and Forecasting | |||
25 | 2018 | Cost-Sensitive Encoding for Label Space Dimension Reduction Algorithms on Multi-label Classification | Lo, K.-H.; HSUAN-TIEN LIN | Proceedings - 2017 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2017 | 2 | 0 | |
26 | 2018 | Refuel: Exploring sparse features in deep reinforcement learning for fast disease diagnosis | Peng Y.-S; Tang K.-F; Chang E.Y; HSUAN-TIEN LIN | Advances in Neural Information Processing Systems | |||
27 | 2018 | A deep model with local surrogate loss for general cost-sensitive multi-label learning | Hsieh C.-Y; Lin Y.-A; HSUAN-TIEN LIN | 32nd AAAI Conference on Artificial Intelligence, AAAI 2018 | |||
28 | 2018 | Compatibility family learning for item recommendation and generation | Shih Y.-S; Chang K.-Y; Lin H.-T; Sun M.; HSUAN-TIEN LIN | 32nd AAAI Conference on Artificial Intelligence, AAAI 2018 | |||
29 | 2018 | Automatic Bridge Bidding Using Deep Reinforcement Learning | Yeh, C.; Hsieh, C.; HSUAN-TIEN LIN | Journal of Lightwave Technology | 14 | 9 | |
30 | 2018 | Rotation-blended CNNs on a new open dataset for tropical cyclone image-to-intensity regression | Chen, B.; Chen, B.-F.; HSUAN-TIEN LIN | Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining | 44 | 0 | |
31 | 2018 | Multi-Label Classification with Feature-Aware Cost-Sensitive Label Embedding | Chiu, H.-C.; HSUAN-TIEN LIN | Proceedings - 2018 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2018 | 0 | 0 | |
32 | 2018 | Cyclic classifier chain for cost-Sensitive multilabel classification | Lin, Y.-A.; HSUAN-TIEN LIN | Proceedings - 2017 International Conference on Data Science and Advanced Analytics, DSAA 2017 | 0 | 0 | |
33 | 2018 | Cost-Sensitive Reference Pair Encoding for Multi-Label Learning. | Yang, Yao-Yuan; Huang, Kuan-Hao; Chang, Chih-Wei; HSUAN-TIEN LIN | Advances in Knowledge Discovery and Data Mining - 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part I | 2 | 0 | |
34 | 2017 | Cost-sensitive label embedding for multi-label classification | Kuan-Hao Huang; HSUAN-TIEN LIN | Machine Learning | |||
35 | 2017 | A novel uncertainty sampling algorithm for cost-sensitive multiclass active learning | Huang, K.-H.; HSUAN-TIEN LIN | Proceedings - IEEE International Conference on Data Mining, ICDM | |||
36 | 2017 | Can active learning experience be transferred? | Chu, H.-M.; HSUAN-TIEN LIN | Proceedings - IEEE International Conference on Data Mining, ICDM | |||
37 | 2017 | Progressive random k-labelsets for cost-sensitive multi-label classification | Wu, Y.-P.; HSUAN-TIEN LIN | Machine Learning | |||
38 | 2016 | Automatic Bridge bidding using deep reinforcement learning | Yeh, C.-K.; HSUAN-TIEN LIN | Frontiers in Artificial Intelligence and Applications | 7 | 0 | |
39 | 2016 | A Simple Unlearning Framework for Online Learning Under Concept Drifts. | You, Sheng-Chi; HSUAN-TIEN LIN | Advances in Knowledge Discovery and Data Mining - 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part I | |||
40 | 2016 | Can Active Learning Experience Be Transferred? | Chu, Hong-Min; HSUAN-TIEN LIN | IEEE 16th International Conference on Data Mining, ICDM 2016, December 12-15, 2016, Barcelona, Spain | |||
41 | 2016 | A Novel Uncertainty Sampling Algorithm for Cost-Sensitive Multiclass Active Learning. | Huang, Kuan-Hao; HSUAN-TIEN LIN | IEEE 16th International Conference on Data Mining, ICDM 2016, December 12-15, 2016, Barcelona, Spain | |||
42 | 2016 | A practical divide-and-conquer approach for preference-based learning to rank | Yang, H.-J.; HSUAN-TIEN LIN | TAAI 2015 - 2015 Conference on Technologies and Applications of Artificial Intelligence | 1 | 0 | |
43 | 2016 | Linear Upper Confidence Bound Algorithm for Contextual Bandit Problem with Piled Rewards. | Huang, Kuan-Hao; HSUAN-TIEN LIN | Advances in Knowledge Discovery and Data Mining - 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part II | 3 | 0 | |
44 | 2015 | Active learning by learning | Hsu W.-N; HSUAN-TIEN LIN | Proceedings of the National Conference on Artificial Intelligence | 77 | ||
45 | 2015 | Effective string processing and matching for author disambiguation | HSUAN-TIEN LIN | Journal of Machine Learning Research | |||
46 | 2015 | Combination of feature engineering and ranking models for paper-author identification in KDD Cup 2013 | HSUAN-TIEN LIN | Journal of Machine Learning Research | |||
47 | 2015 | Active learning using hint information | Li, C.-L.; Ferng, C.-S.; HSUAN-TIEN LIN | Neural Computation | |||
48 | 2015 | Active learning by learning | Hsu, W.-N.; HSUAN-TIEN LIN | National Conference on Artificial Intelligence | |||
49 | 2014 | Condensed filter tree for cost-sensitive multi-label classification | Li, C.-L.; HSUAN-TIEN LIN | 31st International Conference on Machine Learning | |||
50 | 2014 | Machine Learning Approaches for Interactive Verification. | Chou, Yu-Cheng; HSUAN-TIEN LIN | Advances in Knowledge Discovery and Data Mining - 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part II | |||
51 | 2014 | Machine learning approaches for interactive verification | Chou, Y.-C.; HSUAN-TIEN LIN | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | |||
52 | 2014 | Boosting with online binary learners for the multiclass bandit problem | Chen, S.-T.; Lin, H.-T.; Lu, C.-J.; HSUAN-TIEN LIN | 31st International Conference on Machine Learning, ICML 2014 | |||
53 | 2013 | Effective string processing and matching for author disambiguation | Chin, Wei Sheng; Juan, Yu Chin; Zhuang, Yong; Wu, Felix; Tung, Hsiao Yu; Yu, Tong; Wang, Jui Pin; Chang, Cheng Xia; Yang, Chun Pai; Chang, Wei Cheng; Huang, Kuan Hao; Kuo, Tzu Ming; Lin, Shan Wei; Lin, Young San; Lu, Yu Chen; Su, Yu Chuan; Wei, Cheng Kuang; Yin, Tu Chun; Li, Chun Liang; Lin, Ting Wei; Tsai, Cheng Hao; SHOU-DE LIN ; HSUAN-TIEN LIN ; CHIH-JEN LIN | Proceedings of the 2013 KDD Cup 2013 Workshop | 8 | 0 | |
54 | 2013 | Combination of feature engineering and ranking models for paper-author identification in KDD Cup 2013 | Li, Chun Liang; Su, Yu Chuan; Lin, Ting Wei; Tsai, Cheng Hao; Chang, Wei Cheng; Huang, Kuan Hao; Kuo, Tzu Ming; Lin, Shan Wei; Lin, Young San; Lu, Yu Chen; Yang, Chun Pai; Chang, Cheng Xia; Chin, Wei Sheng; Juan, Yu Chin; Tung, Hsiao Yu; Wang, Jui Pin; Wei, Cheng Kuang; Wu, Felix; Yin, Tu Chun; Yu, Tong; Zhuang, Yong; SHOU-DE LIN ; HSUAN-TIEN LIN ; CHIH-JEN LIN | Proceedings of the 2013 KDD Cup 2013 Workshop | 9 | 0 | |
55 | 2013 | Data Selection Techniques for Large-Scale Rank SVM. | Lin, Ken-Yi; Jan, Te-Kang; HSUAN-TIEN LIN | Conference on Technologies and Applications of Artificial Intelligence, TAAI 2013, Taipei, Taiwan, December 6-8, 2013 | 2 | 0 | |
56 | 2013 | Multilabel classification using error-correcting codes of hard or soft bits | Ferng, C.-S.; HSUAN-TIEN LIN | IEEE Transactions on Neural Networks and Learning Systems | |||
57 | 2013 | Improving ranking performance with cost-sensitive ordinal classification via regression | Ruan, Yu-Xun; Lin, Hsuan-Tien; Tsai, Ming-Feng; HSUAN-TIEN LIN | Information Retrieval | |||
58 | 2013 | Active Learning for Multiclass Cost-Sensitive Classification Using Probabilistic Models. | Chen, Po-Lung; HSUAN-TIEN LIN | Conference on Technologies and Applications of Artificial Intelligence, TAAI 2013, Taipei, Taiwan, December 6-8, 2013 | 9 | 0 | |
59 | 2013 | Active sampling of pairs and points for large-scale linear bipartite ranking | Shen, W.-Y.; HSUAN-TIEN LIN | Journal of Machine Learning Research | |||
60 | 2013 | Pairwise regression with upper confidence bound for contextual bandit with multiple actions | Chang, Y.-H.; HSUAN-TIEN LIN | 2013 Conference on Technologies and Applications of Artificial Intelligence | 0 | 0 | |
61 | 2013 | Effective string processing and matching for author disambiguation. | Chin, Wei-Sheng et al.; Juan, Yu-Chin; Zhuang, Yong; Wu, Felix; Tung, Hsiao-Yu; Yu, Tong; Wang, Jui-Pin; Chang, Cheng-Xia; Yang, Chun-Pai; Chang, Wei-Cheng; Huang, Kuan-Hao; Kuo, Tzu-Ming; Lin, Shan-Wei; Lin, Young-San; Lu, Yu-Chen; Su, Yu-Chuan; Wei, Cheng-Kuang; Yin, Tu-Chun; Li, Chun-Liang; Lin, Ting-Wei; Tsai, Cheng-Hao; Lin, Shou-De ; Lin, Hsuan-Tien ; CHIH-JEN LIN | Proceedings of the 2013 KDD Cup 2013 Workshop, KDD Cup 2013, Chicago, Illinois, USA, August 11-14, 2013 | 8 | 0 | |
62 | 2012 | An Online Boosting Algorithm with Theoretical Justifications | Chen, Shang-Tse; Lin, Hsuan-Tien ; Lu, Chi-Jen | 29th International Conference on Machine Learning | |||
63 | 2012 | Feature-aware Label Space Dimension Reduction for Multi-label Classification | Chen, Yao-Nan; Lin, Hsuan-Tien | Advances in Neural Information Processing Systems | |||
64 | 2012 | Teaching Machine Learning to a Diverse Audience: the Foundation-based Approach | Lin, Hsuan-Tien ; Magdon-Ismail, Malik; Abu-Mostafa, Yaser S. | ICML | |||
65 | 2012 | Active learning with hinted support vector machine | Li, C.-L.; Ferng, C.-S.; HSUAN-TIEN LIN | Journal of Machine Learning Research | |||
66 | 2012 | A simple methodology for soft cost-sensitive classification | Jan, Te-Kang; Wang, Da-Wei; Lin, Chi-Hung; HSUAN-TIEN LIN | 15 | 0 | ||
67 | 2012 | Learning from Data: A Short Course | Abu-Mostafa, Yaser S.; Magdon-Ismail, Malik; Lin, Hsuan-Tien | ||||
68 | 2012 | Balancing between Estimated Reward and Uncertainty during News Article Recommendation for ICML 2012 Exploration and Exploitation Challenge | Chou, Ku-Chun; Lin, Hsuan-Tien | ICML | |||
69 | 2012 | Reduction from cost-sensitive ordinal ranking to weighted binary classification | Li, Ling; Lin, Hsuan-Tien | Neural Computation | 91 | 76 | |
70 | 2012 | Active Learning with Hinted Support Vector Machine | Li, Chun-Liang; Ferng, Chun-Sung; Lin, Hsuan-Tien | ACML | |||
71 | 2012 | Multilabel classification with principal label space transformation | Tai, F.; HSUAN-TIEN LIN | Neural Computation | |||
72 | 2012 | A Two-Stage Ensemble of Diverse Models for Advertisement Ranking in KDD Cup 2012 | Wu, Kuan-Wei; Lin, Shou-De ; Lin, Hsuan-Tien et al. | KDDCup | |||
73 | 2011 | Multi-label classification with error-correcting codes | Ferng, C.-S.; HSUAN-TIEN LIN | Journal of Machine Learning Research | |||
74 | 2011 | Novel Models and Ensemble Techniques to Discriminate Favorite Items from Unrated Ones for Personalized Music Recommendation | McKenzie, Todd G.; Lin, Hsuan-Tien ; Lin, Chih-Jen ; Lin, Shou-De et al. | KDD Cup | |||
75 | 2011 | Multi-label Active Learning with Auxiliary Learner | Hung, Chen-Wei; Lin, Hsuan-Tien | ACML '11 | |||
76 | 2011 | Multi-label active learning with auxiliary learner | Hung, C.-W.; HSUAN-TIEN LIN | Journal of Machine Learning Research | |||
77 | 2011 | Cost-Sensitive Classification on Pathogen Species of Bacterial Meningitis by Surface Enhanced Raman Scattering. | Jan, Te-Kang; Lin, Hsuan-Tien; Chen, Hsin-Pai; Chern, Tsung-Chen; Huang, Chung-Yueh; Wen, Bing-Cheng; Chung, Chia-Wen; Li, Yung-Jui; Chuang, Ya-Ching; Li, Li-Li; Chan, Yu-Jiun; Wang, Juen-Kai; Wang, Yuh-Lin; Lin, Chi-Hung; HSUAN-TIEN LIN ; Wang, Juen-Kai | IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2011, Atlanta, GA, USA, November 12-15, , 2011 | 4 | 0 | |
78 | 2011 | Unsupervised auxiliary visual words discovery for large-scale image object retrieval | Kuo, Yin-Hsi; HSUAN-TIEN LIN ; WEN-HUANG CHENG ; YI-HSUAN YANG ; WINSTON HSU | IEEE Computer Society Conference on Computer Vision and Pattern Recognition | 18 | 0 | |
79 | 2011 | Multi-label Classification with Error-correcting Codes | Ferng, Chun-Sung; Lin, Hsuan-Tien | ACML '11 | |||
80 | 2011 | A Linear Ensemble of Individual and Blended Models for Music Rating Prediction | Chen, Po-Lung; Lin, Hsuan-Tien ; Lin, Chih-Jen ; Lin, Shou-De et al. | KDD Cup | |||
81 | 2010 | Cost-sensitive Classification: Status and Beyond | Lin, Hsuan-Tien | Workshop on Machine Learning Research in Taiwan: Challenges and Directions at TAAI | |||
82 | 2010 | An Ensemble Ranking Solution to the Yahoo! Learning to Rank Challenge | Tsai, Ming-Feng; Chen, Shang-Tse; Chen, Yao-Nan; Ferng, Chun-Sung; Wang, Chia-Hsuan; Wen, Tzay-Yeu; Lin, Hsuan-Tien | Workshop on the Yahoo! Learning to Rank Challenge at ICML '10 | |||
83 | 2010 | Feature Engineering and Classifier Ensemble for KDD Cup 2010 | Yu, Hsiang-Fu; Lo, Yi-Chen ; Lin, Shou-de ; Lin, Hsuan-Tien ; Lin, Chih-Jen et al. | KDDCup | |||
84 | 2010 | Multi-label Classification with Principle Label Space Transformation | Tai, Farbound; Lin, Hsuan-Tien | ICML '10 | |||
85 | 2010 | One-sided Support Vector Regression for Multiclass Cost-sensitive Classification | Tu, Han-Hsing; Lin, Hsuan-Tien | 27th International Conference on Machine Learning | |||
86 | 2009 | Combining Ordinal Preferences by Boosting | Lin, Hsuan-Tien ; Li, Ling | Preference Learning Workshop at ECML/PKDD '09 | |||
87 | 2008 | Support Vector Machinery for Infinite Ensemble Learning | Lin, Hsuan-Tien ; Li, Ling | Journal of Machine Learning Research | |||
88 | 2007 | Optimizing 0/1 loss for perceptrons by random coordinate descent | Li, L.; HSUAN-TIEN LIN | IEEE International Conference on Neural Networks | 9 | 0 | |
89 | 2007 | A note on Platt's probabilistic outputs for support vector machines | Lin, Hsuan-Tien ; Lin, Chih-Jen ; Weng, Ruby C. | Machine Learning | 618 | ||
90 | 2007 | Ordinal regression by extended binary classification | Li, L.; HSUAN-TIEN LIN | Advances in Neural Information Processing Systems | |||
91 | 2006 | Large-Margin Thresholded Ensembles for Ordinal Regression: Theory and Practice. | Lin, Hsuan-Tien; Li, Ling; HSUAN-TIEN LIN | Algorithmic Learning Theory, 17th International Conference, ALT 2006, Barcelona, Spain, October 7-10, 2006, Proceedings | |||
92 | 2005 | a study on sigmoid kernels for svm and the training of non-psd | Lin, Hsuan-Tien ; Lin, Chih-Jen | ||||
93 | 2005 | Improving Generalization by Data Categorization. | Li, Ling; Pratap, Amrit; Lin, Hsuan-Tien; Abu-Mostafa, Yaser S.; HSUAN-TIEN LIN | Knowledge Discovery in Databases: PKDD 2005, 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, Porto, Portugal, October 3-7, 2005, Proceedings | |||
94 | 2002 | A note on the decomposition methods for support vector regression | Liao, Shuo-Peng; Lin, Hsuan-Tien; Lin, Chih-JenLiao, S.-P.; Lin, H.-T.; Lin, C.-J.; HSUAN-TIEN LIN ; CHIH-JEN LIN | Neural Computation | 20 | ||
95 | 2001 | A note on the decomposition methods for support vector regression | Liao, Shuo-Peng; Lin, Hsuan-Tien ; Lin, Chih-Jen | International Joint Conference on Neural Networks | 0 | 0 |