Conferences in DBLP
Randy Kerber Using a Generalization Hierarchy to Learn from Examples. [Citation Graph (0, 0)][DBLP ] Conf ] Hans Tallis Tuning Rule-Based Systems to Their Environments. [Citation Graph (0, 0)][DBLP ] Conf ] Brent J. Krawchuk , Ian H. Witten On Asking the Right Questions. [Citation Graph (0, 0)][DBLP ] Conf ] Douglas H. Fisher , Jeffrey C. Schlimmer Concept Simplification and Prediction Accuracy. [Citation Graph (0, 0)][DBLP ] Conf ] Jakub Segen Learning Graph Models of Shape. [Citation Graph (1, 0)][DBLP ] Conf ] Kent A. Spackman Learning Categorical Decision Criteria in Biomedical Domains. [Citation Graph (0, 0)][DBLP ] Conf ] Jakub Segen Conceptual Clumping of Binary Vectors with Occam's Razor. [Citation Graph (0, 0)][DBLP ] Conf ] Peter Cheeseman , James Kelly , Matthew Self , John Stutz , Will Taylor , Don Freeman AutoClass: A Bayesian Classification System. [Citation Graph (1, 0)][DBLP ] Conf ] Klaus P. Gross Incremental Multiple Concept Learning Using Experiments. [Citation Graph (0, 0)][DBLP ] Conf ] Wayne Iba , James Wogulis , Pat Langley Trading Off Simplicity and Coverage in Incremental concept Learning. [Citation Graph (2, 0)][DBLP ] Conf ] Michael Lebowitz Deferred Commitment in UNIMEM: Waiting to Learn. [Citation Graph (0, 0)][DBLP ] Conf ] Jarryl Wirth , Jason Catlett Experiments on the Costs and Benefits of Windowing in ID3. [Citation Graph (0, 0)][DBLP ] Conf ] Jie Cheng , Usama M. Fayyad , Keki B. Irani , Zhaogang Qian Improved Decision Trees: A Generalized Version of ID3. [Citation Graph (0, 0)][DBLP ] Conf ] Paul E. Utgoff ID5: An Incremental ID3. [Citation Graph (0, 0)][DBLP ] Conf ] Ming Tan , Larry J. Eshelman Using Weighted Networks to Represent Classification Knowledge in Noisy Domains. [Citation Graph (0, 0)][DBLP ] Conf ] J. Ross Quinlan An Empirical Comparison of Genetic and Decision-Tree Classifiers. [Citation Graph (0, 0)][DBLP ] Conf ] George G. Robertson Population Size in classifier Systems. [Citation Graph (0, 0)][DBLP ] Conf ] Rich Caruana , J. David Schaffer Representation and Hidden Bias: Gray vs. Binary Coding for Genetic Algorithms. [Citation Graph (0, 0)][DBLP ] Conf ] Lawrence Davis , David K. Young Classifier Systems with Hamming Weights. [Citation Graph (0, 0)][DBLP ] Conf ] Adrian V. Sannier II , Erik D. Goodman Midgard: A Genetic Approach to Adaptive Load Balancing for Distributed Systems. [Citation Graph (0, 0)][DBLP ] Conf ] Edward J. Wisniewski , James A. Anderson Some Interesting Properties of a Connectionist Inductive Learning System. [Citation Graph (0, 0)][DBLP ] Conf ] Kenton J. Lynne Competitive Reinforcement Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Gerald Tesauro Connectionist Learning of Expert Backgammon Evaluations. [Citation Graph (1, 0)][DBLP ] Conf ] Bartlett W. Mel Building and Using Mental Models in a Sensory-Motor Domain. [Citation Graph (0, 0)][DBLP ] Conf ] Haym Hirsh Reasoning about Operationality for Explanation-Based Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Michael S. Braverman , Stuart J. Russell Boundaries of Operationality. [Citation Graph (0, 0)][DBLP ] Conf ] Sridhar Mahadevan , Prasad Tadepalli On the Tractability of Learning from Incomplete Theories. [Citation Graph (0, 0)][DBLP ] Conf ] Shankar A. Rajamoney , Gerald DeJong Active Explanation Reduction: An Approach to the Multiple Explanations Problem. [Citation Graph (0, 0)][DBLP ] Conf ] William W. Cohen Generalizing Number and Learning from Multiple Examples in Explanation Based Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Raymond J. Mooney Generalizing the Order of Operators in Macro-Operators. [Citation Graph (0, 0)][DBLP ] Conf ] Kenneth A. De Jong , Alan C. Schultz Using Experience-Based Learning in Game Playing. [Citation Graph (0, 0)][DBLP ] Conf ] Michael J. Pazzani Integrated Learning with Incorrect and Incomplete Theories. [Citation Graph (0, 0)][DBLP ] Conf ] Claudio Carpineto An Approach Based on Integrated Learning to Generating Stories. [Citation Graph (0, 0)][DBLP ] Conf ] Francesco Bergadano , Attilio Giordana A Knowledge Intensive Approach to Concept Induction. [Citation Graph (1, 0)][DBLP ] Conf ] Robert S. Williams Learning to Program by Examining and Modifying Cases. [Citation Graph (0, 0)][DBLP ] Conf ] Kevin T. Kelly Theory Discovery and the Hypothesis Language. [Citation Graph (0, 0)][DBLP ] Conf ] Stephen Muggleton , Wray L. Buntine Machine Invention of First Order Predicates by Inverting Resolution. [Citation Graph (1, 0)][DBLP ] Conf ] Brian Falkenhainer , Shankar A. Rajamoney The Interdependencies of Theory Formation, Revision, and Experimentation. [Citation Graph (0, 0)][DBLP ] Conf ] Donald Rose , Pat Langley A Hill-Climbing Approach to Machine Discovery. [Citation Graph (0, 0)][DBLP ] Conf ] Yi-Hua Wu Reduction: A Practical Mechanism of Searching for Regularity in Data. [Citation Graph (0, 0)][DBLP ] Conf ] Jonathan Amsterdam Extending the Valiant Learning Model. [Citation Graph (0, 0)][DBLP ] Conf ] Nicolas Helft Learning Systems of First-Order Rules. [Citation Graph (0, 0)][DBLP ] Conf ] Balas K. Natarajan , Prasad Tadepalli Two New Frameworks for Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Oren Etzioni Hypothesis Filtering: A Practical Approach to Reliable Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Carl Myers Kadie Diffy-S: Learning Robot Operator Schemata from Examples. [Citation Graph (0, 0)][DBLP ] Conf ] Claude Sammut Experimental Results from an Evaluation of Algorithms that Learn to Control Dynamic Systems. [Citation Graph (0, 0)][DBLP ] Conf ] Michael D. Erickson , Jan M. Zytkow Utilizing Experience for Improving the Tactical Manager. [Citation Graph (0, 0)][DBLP ] Conf ] Milind Tambe , Allen Newell Some Chunks Are Expensive. [Citation Graph (1, 0)][DBLP ] Conf ] Shaul Markovitch , Paul D. Scott The Role of Forgetting in Learning. [Citation Graph (0, 0)][DBLP ] Conf ] 