 | Jeffrey's Rule and the Problem of Autonomous Inference Agents - J. Pearl - 1984 |
| Justified Generalization: Acquiring Procedures from Examples - P. M. Andreae - January 1985 |
| K*: an instance-based learner using an entropic distance measure - John G. Cleary and Leonard E. Trigg - 1995 |
| Keeping neural networks simple by minimizing the description length of the weights - G. Hinton and D. van Camp - 1993 |
| The Kernel-Adatron algorithm: a fast and simple learning procedure for Support Vector machines - Thilo-Thomas Frieß, Nello Cristianini and Colin Campbell - 1998 |
| Kernel-Based Reinforcement Learning - Dirk Ormoneit and Saunak Sen - 2002 |
| Kernel Matching Pursuit - Pascal Vincent and Yoshua Bengio - 2002 |
| The kindest cut: minimum message length segmentation - Rohan A. Baxter and Jonathan J. Oliver - 1996 |
| K nearest neighbor classification on feature projections - Aynur Akkuş and H. Altay Güvenir - 1996 |
| KnightCap: a chess program that learns by combining TD(lambda) with game-tree search - Jonathan Baxter, Andrew Trigdell and Lex Weaver - 1998 |
| Knowing what doesn't matter: exploiting the omission of irrelevant data - Russell Greiner, Adam J. Grove and Alexander Kogan - 1997 |
| Knowledge Acquisition for Knowledge-Based Systems: Notes on the State-of-the-Art - John H. Boose and Brian R. Gaines - 1989 |
| Knowledge Acquisition from Amino Acid Sequences by Machine Learning System BONSAI - S. Shimozono, A. Shinohara, T. Shinohara, S. Miyano, S. Kuhara and S. Arikawa - 1994 |
| Knowledge acquisition from examples via multiple models - Pedro Domingos - 1997 |
| Knowledge Acquisition Via Incremental Conceptual Clustering - Douglas H. Fisher - 1987 |
| Knowledge-based learning in exploratory science: learning rules to predict rodent carcinogenicity - Yongwon Lee, Bruce G. Buchanan and John M. Aronis - 1998 |
| A knowledge-based model of geometry learning - Geoffrey Towell and Richard Lehrer - 1995 |
| Knowledge compilation using Horn approximations - Bart Selman and Henry Kautz - August 1991 |
| Knowledge Discovery from Semistructured Texts - Hiroshi Sakamoto, Hiroki Arimura and Setsuo Arikawa - 2001 |
| Knowledge Discovery from Very Large Databases Using Frequent Concept Lattices - Kitsana Waiyamai and Lotfi Lakhal - 2000 |
| Knowledge Discovery in Auto-tuning Parallel Numerical Library - Hisayasu Kuroda, Takahiro Katagiri and Yasumasa Kanada - 2001 |
| Knowledge Growth in an Artificial Animal - S. W. Wilson - July 1985 |
| A Knowledge-Intensive Genetic Algorithm for Supervised Learning - Cezary Z. Janikow - 1993 |
| Knowledge-intensive learning in connectionist networks - A. Namatame - 1992 |
| The Knowledge Level Reinterpreted: Modeling How Systems Interact - William J. Clancey - 1989 |
| Knowledge of an Upper Bound on Grammar Size Helps Language Learning - S. Jain and A. Sharma - 1989 |
| Knowledge Propagation in Model-based Reinforcement Learning Tasks - Corinna Richter and Jörg Stachowiak - 2000 |
| Knowledge Representation Issues in Control Knowledge Learning - Ricardo Aler, Daniel Borrajo and Pedro Isasi - 2000 |
| A knowledge transfer model: from zero-knowledge toward full knowledge - Y. Tsukada and K. Koyama - 1992 |
| Kolmogorov numberings and minimal identification - Rusins Freivalds and Sanjay Jain - 1997 |
| K-SVRC. A Multi-class Support Vector Machine - Andreu Català Cecilio Angulo - 2000 |
