- Wolfgang Maass:
Efficient Agnostic PAC-Learning with Simple Hypothesis. COLT 1994: 67-75 - Stephen H. Muggleton:
Bayesian Inductive Logic Programming. COLT 1994: 3-11 - Fernando C. N. Pereira:
Frequencies vs Biases: Machine Learning Problems in Natural Language Processing (Extended Abstract). COLT 1994: 12 - Krishnan Pillaipakkamnatt, Vijay Raghavan:
On the Limits of Proper Learnability of Subclasses of DNF Formulas. COLT 1994: 118-129 - Dana Ron
, Yoram Singer, Naftali Tishby:
Learning Probabilistic Automata with Variable Memory Length. COLT 1994: 35-46 - Yoshifumi Sakai, Akira Maruoka:
Learning Monotone Log-Term DNF Formulas. COLT 1994: 165-172 - Robert H. Sloan, György Turán:
Learning with Queries but Incomplete Information (Extended Abstract). COLT 1994: 237-245 - V. G. Vovk:
An Optimal-Control Application of Two Paradigms of On-Line Learning. COLT 1994: 98-109 - Kenji Yamanishi:
The Minimum L-Complexity Algorithm and its Applications to Learning Non-Parametric Rules. COLT 1994: 173-182 - Manfred K. Warmuth:
Proceedings of the Seventh Annual ACM Conference on Computational Learning Theory, COLT 1994, New Brunswick, NJ, USA, July 12-15, 1994. ACM 1994, ISBN 0-89791-655-7 [contents]