Session 3: Supervised and General Machine Learning

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Information

Day 3 (Nov.19), talks: 10:50-11:30 (5th floor Hall 1), poster session: 11:30-14:00

• Each oral presentation consists of a 12-minute talk and a 2-minute discussion.
• Each spotlight presentation consists of a 2.5-minute talk.
• Each best paper presentation consists of a 15-minute talk and a 5-minute discussion.
• Each presentation (all of the above) are to be presented in the poster session on the same day. The size of a poster should be at largest A0 vertical (1189mm height × 841mm width) (A0 horizontal posters cannot be put up).

Program

• 10:50 Spotlight Poster Tue01 Learning Weighted Top-k Support Vector Machine
  • Tsuyoshi Kato (Gunma University); Yoshihiro Hirohashi (DENSO CORPORATION) [Conference Track, Paper ID: 304] <Download paper>
• 10:53 Spotlight Poster Tue02 Multiple Empirical Kernel Learning with Discriminant Locality Preservation
  • Bolu Wang (East China University of Science and Technology); Dongdong Li (East China University of Science and Technology); Zhe Wang ( East China University of Science and Technology ) [Conference Track, Paper ID: 67] <Download paper>
• 10:56 Spotlight Poster Tue03 Optimal PAC-Bayesian Posteriors for Stochastic Classifiers and their use for Choice of SVM Regularization Parameter
  • Puja Sahu (Indian Institute of Technology Bombay); Nandyala Hemachandra (Indian Institute of Technology Bombay) [Conference Track, Paper ID: 125] <Download paper>
• 10:59 Spotlight Poster Tue04 Zero-shot Domain Adaptation Based on Attribute Information
  • Masato Ishii (The University of Tokyo/RIKEN/NEC); Takashi Takenouchi (Future University Hakodate/RIKEN Center for Advanced Intelligence Project); Masashi Sugiyama (RIKEN/The University of Tokyo) [Conference Track, Paper ID: 237] <Download paper>
• 11:02 Spotlight Poster Tue05 Kernel Learning for Data-Driven Spectral Analysis of Koopman Operators
  • Naoya Takeishi (RIKEN) [Conference Track, Paper ID: 352] <Download paper>
• 11:05 Spotlight Poster Tue06 Stochastic Gradient Trees
  • Henry Gouk (University of Edinburgh); Bernhard Pfahringer (University of Waikato); Eibe Frank (University of Waikato) [Conference Track, Paper ID: 395] <Download paper>
• 11:08 Spotlight Poster Tue07 Minimax Online Prediction of Varying Bernoulli Process under Variational Approximation
  • Kenta Konagayoshi (Kyushu University); Kazuho Watanabe (Toyohashi University of Technology) [Conference Track, Paper ID: 81] <Download paper>
• 11:11 Spotlight Poster Tue08 Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA
  • Vitalik Melnikov (Paderborn University); Eyke Hüllermeier (University of Paderborn) [Conference Track, Paper ID: 397] <Download paper>
• 11:14 Spotlight Poster Tue09 Learning to Augment with Feature Side-information
  • Amina Mollaysa (university of geneva); Alexandros Kalousis (AU Geneva); Eric Bruno (Expedia); Maurits Diephuis (University of Geneva) [Conference Track, Paper ID: 111] <Download paper>
• 11:17 Spotlight Poster Tue10 Self-Paced Multi-Label Learning with Diversity
  • Seyed Amjad Seyedi (University of Kurdistan); S.Siamak Ghodsi (University of Kurdistan); Fardin Akhlaghian Tab (University of Kurdistan); Mahdi Jalili (RMIT University); Parham Moradi (University of Kurdistan) [Conference Track, Paper ID: 316] <Download paper>
• 11:20 Spotlight Poster Tue11 FEARS: a FEature And Representation Selection approach for time series classification
  • Alexis Bondu (Orange); Dominique Gay (Université de La Réunion); Vincent Lemaire (Orange); Marc Boulle (Orange Labs); Eole Cervenka (Orange) [Conference Track, Paper ID: 213] <Download paper>
• 11:23 Spotlight Poster Tue12 Prediction of Crowd Flow in City Complex with Missing Data
  • Shiyang Qiu (University of Science and Technology of China); Peng Xu (University of Science and Technology of China); Wei Zheng (Kehang Technology and Information); Wang Junjie (University of Science and Technology of China); Guo Yu (China People's Police University); Mingyao Hou (Kehang Technology and Information); Hengchang Liu (USTC) [Conference Track, Paper ID: 298] <Download paper>