Journal of Artificial Intelligence Research (JAIR), Volume 2

Volume 2, 1994

• Sreerama K. Murthy, Simon Kasif, Steven Salzberg: A System for Induction of Oblique Decision Trees. 1-32
• Adam J. Grove, Joseph Y. Halpern, Daphne Koller: Random Worlds and Maximum Entropy. 33-88
• Tsuyoshi Kitani, Yoshio Eriguchi, Masami Hara: Pattern Matching and Discourse Processing in Information Extraction from Japanese Text. 89-110
• Shmuel Safra, Moshe Tennenholtz: On Planning while Learning. 111-129
• Stephen Soderland, Wendy G. Lehnert: Wrap-Up: a Trainable Discourse Module for Information Extraction. 131-158
• Wray L. Buntine: Operations for Learning with Graphical Models. 159-225
• Steven Minton, John L. Bresina, Mark Drummond: Total-Order and Partial-Order Planning: A Comparative Analysis. 227-262

Volume 2, 1995

• Thomas G. Dietterich, Ghulum Bakiri: Solving Multiclass Learning Problems via Error-Correcting Output Codes. 263-286
• Pawel Cichosz: Truncating Temporal Differences: On the Efficient Implementation of TD(lambda) for Reinforcement Learning. 287-318
• Steve Hanks, Daniel S. Weld: A Domain-Independent Algorithm for Plan Adaptation. 319-360
• Julio Ortega: On the Informativeness of the DNA Promoter Sequences Domain Theory (Research Note). 361-367
• Peter D. Turney: Cost-Sensitive Classification: Empirical Evaluation of a Hybrid Genetic Decision Tree Induction Algorithm. 369-409
• Steven K. Donoho, Larry A. Rendell: Rerepresenting and Restructuring Domain Theories: A Constructive Induction Approach. 411-446
• Philippe David: Using Pivot Consistency to Decompose and Solve Functional CSPs. 447-474
• Andrea Schaerf, Yoav Shoham, Moshe Tennenholtz: Adaptive Load Balancing: A Study in Multi-Agent Learning. 475-500
• William W. Cohen: Pac-Learning Recursive Logic Programs: Efficient Algorithms. 501-539
• William W. Cohen: Pac-learning Recursive Logic Programs: Negative Results. 541-573
• Stuart J. Russell, Devika Subramanian: Provably Bounded-Optimal Agents. 575-609