July 11th (Sat)

13:20-13:30
     Opening Remarks
      by IBIS'98 Committee   

Session 1 (Chair:  Yoshiyuki Kabashima)
13:30-14:20
      Inductive and Deductive Inference and Prediction - Learning Models Based on Decision Theory - 
      by Toshiyasu Matsushima（Waseda Univ.）

14:20-15:10
     Stochastic Complexity and Jeffreys Mixture Prediction Strategies
      by Jun-ichi Takeuchi（NEC）   

15:10-15:30  Break

Session 2 (Chair: Toshiyasu Matsushima)
15:30-16:20
     MDL Principle with Application to Image Processing
      by Shuichi Itoh（Univ.Electro-Comm.), Hideaki Tsuchiya （Univ.Electro-Comm.）

16:20-17:10
     Theoretical Accuracy Bounds and Optimal Algorithm in Geometric Estimation
      by Kenichi Kanatani (Gunma Univ.)

17:10-18:00 
     Extended Stochastic Complexity and Its Applications to Learning
      by Kenji Yamanishi (NEC)

18:00-20:30  Banquet+Break

Session 3 [Impromptu Session(1)] (Chair: Kenji Yamanishi)

20:30-20:45 
     Assessing the Uncertainty of Model Selection
      -A Graphical Approach to Model Selection Diagnosis- 
      by Hidetoshi Shimodaira (Inst. Stat. Math.)

20:45-21:00
     Deterministic Annealing EM Algorithm 
      -A Formalization Using Statistical Mechanics Analogy-
      by Naonori Ueda (NTT)

21:00-21:15
     Existence of Overtraining in Batch Learning of Multilayer Neural Networks
      by Kenji Fukumizu (RIKEN)

21:15-21:30 
      Block Orthogonal Projection Learning for Multilayer Neural Networks
      by Seiji Miyoshi (Kobe City Coll. Tech.) 

21:30-21:45
     Convergence Rate of the Block Orthogonal Projection Algorithm
      by Kazushi Ikeda (Kyoto Univ.), Seiji Miyoshi (Kobe City Coll. Tech.), Kenji Nakayama (Kanazawa Univ.)

21:45-22:00  Break

Session 4 [Impromptu Session(2)] (Chair: Kenji Yamanishi)
22:00-22:15　 
     Bayesian Network that Learns Conditional Probabilities by Neural Networks
      by Youichi Motomura (ETL)

22:15-22:30　 
     Object Recognition by Composition
      by Akira Date (Osaka Univ.)　   

22:30-22:45
     A Study of A First Order Asymptotic Theory of Statistical Estimation 
         When the Experimental Scheme Is Controlled
      by Keiji Matsumoto (Univ. Tokyo) 

22:45-23:00
     Asymptotic Two-Stage Quantizer
      by Tsutom Kawabata (Univ.Electro-Comm.)

23:00-23:15
     Kolmogorov Complexity of Measure Preserving Transformations
      by Hayato Takahashi (JST, Tokyo Denki Univ.), Kazuyuki Aihara (Univ. Tokyo)




July 12th (Sun)

7:00-8:00  Breakfast

Session 5 (Chair: Jun-ichi Takeuchi)
8:30-9:20
     Model Selection and Related Topics in Statistical Sciences
      by Yukito Iba (Inst.Stat.Math.)

9:20-10:10
     Bias of Estimators and Regularization Terms
      by Noboru Murata (RIKEN) 

10:10-10:30 Break

Session 6 (Chair: Yukito Iba)
10:30-11:20
     Natural Language Analysis Based on MDL Learning
      by Hang Li（NEC） 

11:20-12:10 
     Japanese Part-of-speech Tagger Using Context Trees
      by Masahiko Haruno（ATR） 

12:10-13:00  Lunch

Session 7 (Chair: Joe Suzuki)
13:00-13:50
     Using Information Theory To Study the Communicative System and Cognitive Capacities in Ants
      by Boris Ryabko（Siberian State Academy of Tel. Comput. Science), Zhanna Reznikova (Novosibirsk State Univ.) 


13:50-14:40
     Independent Component Analysis by Geometrical Learning
      by Shun-ichi Amari (RIKEN）

14:40-15:00  Break

Session 8 (Chair: Noboru Murata)
15:00-15:50 
     Statistical Mechanics of Learning
      by Yoshiyuki Kabashima（Tokyo Inst.Tech.）

15:50-16:40
     Learning Bayesian Belief Networks Based on the MDL Principle 
      by Joe Suzuki (Osaka Univ.）

16:40-16:50  
     Concluding Remarks
      by IBIS'98 Committee/SITA Boad of Planning Directors