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The 14th International Conference
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CONFERENCE PPROGRAM |
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Thursday, October 16:
17:30 - 20:00 Reception/Registration at Sapporo Aspen Hotel (Registration desk is open at 8:30 during the conference days.) Friday, October 17, Morning 09:00-09:10 Opening: Yuzuru Tanaka SESSION 1, October 17, Morning [Invited Talk] Chair: Eiji Takimoto 09:10-10:10: Thomas Zeugmann Can Learning in the Limit be Done Efficiently? Break (15 min) SESSION 2, Friday, October 17, Morning [Inductive Inference] Chair: Sanjay Jain 10:25-10:55: Sandra Zilles Intrinsic Complexity of Uniform Learning 10:55-11:25: Eric Martin, Arun Sharma and Frank Stephan On Ordinal VC-Dimension and Some Notions of Complexity Short Break (10 min) 11:35-12:05: Jin Uemura and Masako Sato Learning of Erasing Primitive Formal Systems from Positive Examples 12:05-12:35: Frank Balbach Changing the Inference Type - Keeping the Hypothesis Space Lunch (85 min) SESSION 3, Friday, October 17, Afternoon [Invited Talk] Chair: Gunter Grieser 14:00-15:00: Thomas Eiter Abduction and the Dualization Problem Break (30 min) SESSION 4, Friday, October 17, Afternoon [Learning and Information Extraction] Chair: John Case 15:30-16:00: Jan Arpe and Rüdiger Reischuk Robust Inference of Relevant Attributes 16:00-16:30: Yusuke Suzuki, Takayoshi Shoudai, Satoshi Matsumoto, Tomoyuki Uchida and Tetsuhiro Miyahara Efficient Learning of Ordered and Unordered Tree Patterns with Contractible Variables Break (30 min) SESSION 5, Friday, October 17, Afternoon [Learning with Queries] Chair: Kouichi Hirata 17:00-17:30: Steffen Lange and Sandra Zilles On the Learnability of Erasing Pattern Languages in the Query Model 17:30-18:00: Satoshi Matsumoto, Yusuke Suzuki, Takayoshi Shoudai, Tetsuhiro Miyahara and Tomoyuki Uchida Learning of Finite Unions of Tree Patterns with Repeated Internal Structured Variables from Queries SESSION 6, Saturday, October 18, Morning [Invited Talk] Chair: Klaus P. Jantke 09:00-10:00: Genshiro Kitagawa Signal Extraction and Knowledge Discovery Based on Statistical Modeling Break (15 min) SESSION 7, Saturday, October 18, Morning [Learning with Non-linear Optimization] Chair: Jose Oncina 10:15-10:45: Jingdong Wang, Jianguo Lee and Changshui Zhang Kernel Trick Embedded Gaussian Mixture Model 10:45-11:15: Tijl De Bie, Michinari Momma and Nello Cristianini Efficiently Learning the Metric with Side-Information Short Break (15 min) 11:30-12:00: Shaojun Wang and Dale Schuurmans Learning Continuous Latent Variable Models with Bregman Divergences 12:00-12:30: Joel Ratsaby A Stochastic Gradient Descent Algorithm for Structural Risk Minimisation Lunch (90 min) SESSION 8, Saturday, October 18, Afternoon [Invited Talk] Chair: Ricard Gavaldà 14:00-15:00: Naftali Tishby Efficient Data Representations that Preserve Information Break (30 min) SESSION 9, Saturday, October 18, Afternoon [Learning from Random Examples] Chair: Hiroki Arimura 15:30-16:00: Jiri Sima On the Complexity of Training a Single Perceptron with Programmable Synaptic Delays 16:00-16:30: John Case, Sanjay Jain, Rüdiger Reischuk, Frank Stephan and Thomas Zeugmann Learning a Subclass of Regular Patterns in Polynomial Time 16:30-17:00: Colin de la Higuera and Jose Oncina Identification with Probability One of Stochastic Deterministic Linear Languages Break (60 min) 18:00-19:00: Business Meeting 19:00-21:00: Banquet (at Sapporo Aspen Hotel) SESSION 10, Sunday, October 19, Morning [Invited Talk] Chair: Akihiro Yamamoto 09:00-10:00: Akihiko Takano Association Computation for Information Access Break (15 min) SESSION 11, Sunday, October 19, Morning [On-Line Prediction] Chair: Frank Stephan 10:15-10:45: Ilia Nouretdinov and Vladimir Vovk Criterion of Calibration for Transductive Confidence Machine with Limited Feedback 10:45-11:15: Vladimir Vovk Well-Calibrated Predictions from On-Line Compression Models Short Break (15 min) 11:30-12:00: Ilia Nouretdinov, Vladimir V'yugin and Alex Gammerman Transductive Confidence Machine is Universal 12:00-12:30: Marcus Hutter On the Existence and Convergence of Computable Universal Priors
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We look forward to seeing you in Sapporo. |