Conferences in DBLP
Pat Langley Unifying Themes in Empirical and Explanation-Based Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Raymond J. Mooney , Dirk Ourston Induction Over the Unexplained: Integrated Learning of Concepts with Both Explainable and Conventional Aspects. [Citation Graph (0, 0)][DBLP ] Conf ] Jungsoon P. Yoo , Douglas H. Fisher Conceptual Clustering of Explanations. [Citation Graph (0, 0)][DBLP ] Conf ] Gerhard Widmer A Tight Integration of Deductive Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Gheorghe Tecuci , Yves Kodratoff Multi-Strategy Learning in Nonhomongeneous Domain Theories. [Citation Graph (0, 0)][DBLP ] Conf ] Jianping Zhang , Ryszard S. Michalski A Description of Preference Criterion in Constructive Learning: A Discussion of Basis Issues. [Citation Graph (0, 0)][DBLP ] Conf ] Michael Redmond Combining Case-Based Reasoning, Explanation-Based Learning, and Learning form Instruction. [Citation Graph (0, 0)][DBLP ] Conf ] Francesco Bergadano , Attilio Giordana , S. Ponsero Deduction in Top-Down Inductive Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Wendy Sarrett , Michael J. Pazzani One-Sided Algorithms for Integrating Empirical and Explanation-Based Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Haym Hirsh Combining Empirical and Analytical Learning with Version Spaces. [Citation Graph (0, 0)][DBLP ] Conf ] Andrea Pohoreckyj Danyluk Finding New Rules for Incomplete Theories: Explicit Biases for Induction with Contextual Information. [Citation Graph (0, 0)][DBLP ] Conf ] Tom Fawcett Learning from Plausible Explanations. [Citation Graph (0, 0)][DBLP ] Conf ] Kamal M. Ali Augmenting Domain Theory for Explanation-Based Generalization. [Citation Graph (0, 0)][DBLP ] Conf ] David Haines Explanation Based Learning as Constrained Search. [Citation Graph (0, 0)][DBLP ] Conf ] Steven Morris Reducing Search and Learning Goal Preferences. [Citation Graph (0, 0)][DBLP ] Conf ] Alex Kass Adaptation-Based Explanation: Explanations as Cases. [Citation Graph (0, 0)][DBLP ] Conf ] Colleen M. Seifert A Retrieval Model Using Feature Selection. [Citation Graph (0, 0)][DBLP ] Conf ] Bruce Krulwich , Gregg Collins , Lawrence Birnbaum Improving Decision-Making on the Basis of Experience. [Citation Graph (0, 0)][DBLP ] Conf ] Masayuki Numao , Masamichi Shimura Explanation-Based Acceleration of Similarity-Based Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Lawrence Hunter Knowledge Acquisition Planning: Results and Prospects. [Citation Graph (0, 0)][DBLP ] Conf ] Joachim Diederich "Learning by Instruction" in connectionist Systems. [Citation Graph (0, 0)][DBLP ] Conf ] Bruce F. Katz Integrating Learning in a Neural Network. [Citation Graph (0, 0)][DBLP ] Conf ] Michael J. Pazzani Explanation-Based Learning with Week Domain Theories. [Citation Graph (0, 0)][DBLP ] Conf ] Gerhard Friedrich , Wolfgang Nejdl Using Domain Knowledge to Improve Inductive Learning Algorithms for Diagnosis. [Citation Graph (0, 0)][DBLP ] Conf ] James Wogulis A Framework for Improving Efficiency and Accuracy. [Citation Graph (0, 0)][DBLP ] Conf ] George Drastal , Regine Meunier , Stan Raatz Error Correction in Constructive Induction. [Citation Graph (0, 0)][DBLP ] Conf ] Ralph Barletta , Randy Kerber Improving Explanation-Based Indexing with Empirical Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Michael Wollowski A Schema for an Integrated Learning System. [Citation Graph (0, 0)][DBLP ] Conf ] Jude W. Shavlik , Geoffrey G. Towell Combining Explanation-Based Learning and Artificial Neural Networks. [Citation Graph (0, 0)][DBLP ] Conf ] Wray L. Buntine Learning Classification Rules Using Bayes. [Citation Graph (0, 0)][DBLP ] Conf ] Matjaz Gams , Aram Karalic New Empirical Learning Mechanisms Perform Significantly Better in Real Life Domains. [Citation Graph (0, 0)][DBLP ] Conf ] Philip K. Chan Inductive Learning with BCT. [Citation Graph (0, 0)][DBLP ] Conf ] Ritchey A. Ruff , Thomas G. Dietterich What Good Are Experiments?. [Citation Graph (0, 0)][DBLP ] Conf ] Stephen Muggleton , Michael Bain , Jean Hayes Michie , Donald Michie An Experimental Comparison of Human and Machine Learning Formalisms. [Citation Graph (0, 0)][DBLP ] Conf ] Giulia Pagallo , David Haussler Two Algorithms That Learn DNF by Discovering Relevant Features. [Citation Graph (0, 0)][DBLP ] Conf ] Thomas G. Dietterich Limitations on Inductive Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Rodney M. Goodman , Padhraic Smyth The Induction of Probabilistic Rule Sets - The Itrule Algorithm. [Citation Graph (0, 0)][DBLP ] Conf ] Lawrence B. Holder Empirical Substructure Discovery. [Citation Graph (0, 0)][DBLP ] Conf ] Jan Paredis Learning the Behavior of Dynamical Systems form Examples. [Citation Graph (0, 0)][DBLP ] Conf ] Matthew T. Mason , Alan D. Christiansen , Tom M. Mitchell Experiments in Robot Learning. [Citation Graph (0, 0)][DBLP ] Conf ] W. Scott Spangler , Usama M. Fayyad , Ramasamy Uthurusamy Induction of Decision Trees from Inconclusive Data. [Citation Graph (0, 0)][DBLP ] Conf ] Michel Manago Knowledge Intensive Induction. [Citation Graph (0, 0)][DBLP ] Conf ] Brian R. Gaines An Ounce of Knowledge is Worth a Ton of Data: Quantitative studies of the Trade-Off between Expertise and Data Based On Statistically Well-Founded Empirical Induction. [Citation Graph (0, 0)][DBLP ] Conf ] Kent A. Spackman Signal Detection Theory: Valuable Tools for Evaluating Inductive Learning. [Citation Graph (0, 0)][DBLP ] Conf ] J. Ross Quinlan Unknown Attribute Values in Induction. [Citation Graph (0, 0)][DBLP ] Conf ] Douglas H. Fisher , Kathleen B. McKusick , Raymond J. Mooney , Jude W. Shavlik , Geoffrey G. Towell Processing Issues in Comparisons of Symbolic and Connectionist Learning Systems. [Citation Graph (0, 0)][DBLP ] Conf ] Cullen Schaffer Bacon, Data Analysis and Artificial Intelligence. [Citation Graph (0, 0)][DBLP ] Conf ] David Rudy , Dennis F. Kibler Learning to Plan in Complex Domains. [Citation Graph (0, 0)][DBLP ] Conf ] Jude W. Shavlik An Empirical Analysis of EBL Approaches for Learning Plan Schemata. [Citation Graph (0, 0)][DBLP ] Conf ] Mike R. Hilliard , Gunar E. Liepins , G. Rangarajan , Mark Palmer Learning Decision Rules for scheduling Problems: A Classifier Hybrid Approach. [Citation Graph (0, 0)][DBLP ] Conf ] Keith R. Levi , David L. Perschbacher , Valerie L. Shalin Learning Tactical Plans for Pilot Aiding. [Citation Graph (0, 0)][DBLP ] Conf ] Lawrence Birnbaum , Gregg Collins , Bruce Krulwich Issues in the Justification-Based Diagnosis of Planning Failures. [Citation Graph (0, 0)][DBLP ] Conf ] Stan Matwin , Johanne Morin Learning Procedural Knowledge in the EBG Context. [Citation Graph (0, 0)][DBLP ] Conf ] Jean-Francois Puget Learning Invariants from Explanations. [Citation Graph (0, 0)][DBLP ] Conf ] Ralph P. Sobek , Jean-Paul Laumond Using Learning to Recover Side-Effects of Operators in Robotics. [Citation Graph (0, 0)][DBLP ] Conf ] Paul O'Rorke , Timothy Cain , Andrew Ortony Learning to Recognize Plans Involving Affect. [Citation Graph (0, 0)][DBLP ] Conf ] Randolph M. Jones Learning to Retrieve Useful Information for Problem Solving. [Citation Graph (0, 0)][DBLP ] Conf ] Kurt VanLehn Discovering Problem Solving Strategies: What Humans Do and Machines Don't (Yet). [Citation Graph (0, 0)][DBLP ] Conf ] Melissa P. Chase , Monte Zweben , Richard L. Piazza , John D. Burger , Paul P. Maglio , Haym Hirsh Approximating Learned Search Control Knowledge. [Citation Graph (0, 0)][DBLP ] Conf ] Prasad Tadepalli Planning Approximate Plans for Use in the Real World. [Citation Graph (0, 0)][DBLP ] Conf ] John A. Allen , Pat Langley Using Concept Hierarchies to Organize Plan Knowledge. [Citation Graph (0, 0)][DBLP ] Conf ] Hua Yang , Douglas H. Fisher Conceptual Clustering of Mean-Ends Plans. [Citation Graph (0, 0)][DBLP ] Conf ] Nicholas S. Flann Learning Appropriate Abstractions for Planning in Formation Problems. [Citation Graph (0, 0)][DBLP ] Conf ] Jack Mostow , Armand Prieditis Discovering Admissible Search Heuristics by Abstracting and Optimizing. [Citation Graph (0, 0)][DBLP ] Conf ] Craig A. Knoblock Learning Hierarchies of Abstraction Spaces. [Citation Graph (0, 0)][DBLP ] Conf ] Timothy M. Converse , Kristian J. Hammond , Mitchell Marks Learning from Opportunity. [Citation Graph (0, 0)][DBLP ] Conf ] Steve A. Chien Learning by Analyzing Fortuitous Occurrences. [Citation Graph (0, 0)][DBLP ] Conf ] Melinda T. Gervasio , Gerald DeJong Explanation-Based Learning of Reactive Operations. [Citation Graph (0, 0)][DBLP ] Conf ] Jim Blythe , Tom M. Mitchell On Becoming Reactive. [Citation Graph (0, 0)][DBLP ] Conf ] Allen Ginsberg Knowledge Base Refinement and Theory Revision. [Citation Graph (0, 0)][DBLP ] Conf ] Paul O'Rorke , Steven Morris , David Schulenburg Theory Formation by Abduction: Initial Results of a Case Study Based on the Chemical Revolution. [Citation Graph (0, 0)][DBLP ] Conf ] Donald Rose Using Domain Knowledge to Aid Scientific Theory Revision. [Citation Graph (0, 0)][DBLP ] Conf ] Deepak Kulkarni , Herbert A. Simon The Role of Experimentation in Scientific Theory Revision. [Citation Graph (0, 0)][DBLP ] Conf ] Shankar A. Rajamoney Exemplar-Based Theory Rejection: An Approach to the Experience Consistency Problem. [Citation Graph (0, 0)][DBLP ] Conf ] Kenneth S. Murray , Bruce W. Porter Controlling Search for the Consequences of New Information During Knowledge Integration. [Citation Graph (0, 0)][DBLP ] Conf ] Keith R. Levi , Valerie L. Shalin , David L. Perschbacher Identifying Knowledge Base Deficiencies by Observing User Behavior. [Citation Graph (0, 0)][DBLP ] Conf ] Chris Tong , Phil Franklin Toward Automated Rational Reconstruction: A Case Study. [Citation Graph (0, 0)][DBLP ] Conf ] Michael H. Sims , John L. Bresina Discovering Mathematical Operation Definitions. [Citation Graph (0, 0)][DBLP ] Conf ] Zbigniew W. Ras , Maria Zemankova Imprecise Concept Learning within a Growing Language. [Citation Graph (0, 0)][DBLP ] Conf ] Sridhar Mahadevan Using Determinations in EBL: A Solution to the incomplete Theory Problem. [Citation Graph (0, 0)][DBLP ] Conf ] Marco Valtorta Some Results on the Complexity of Knowledge-Based Refinement. [Citation Graph (0, 0)][DBLP ] Conf ] David C. Wilkins , Kok-Wah Tan Knowledge Base Refinement as Improving an Incorrect, Inconsistent and Incomplete Domain Theory. [Citation Graph (0, 0)][DBLP ] Conf ] John J. Grefenstette Incremental Learning of Control Strategies with Genetic algorithms. [Citation Graph (0, 0)][DBLP ] Conf ] Charles W. Anderson Tower of Hanoi with Connectionist Networks: Learning New Features. [Citation Graph (0, 0)][DBLP ] Conf ] Leslie Pack Kaelbling A Formal Framework for Learning in Embedded Systems. [Citation Graph (0, 0)][DBLP ] Conf ] Steven D. Whitehead , Dana H. Ballard A Role for Anticipation in Reactive Systems that Learn. [Citation Graph (0, 0)][DBLP ] Conf ] Paul D. Scott , Shaul Markovitch Uncertainty Based Selection of Learning Experiences. [Citation Graph (0, 0)][DBLP ] Conf ] Paul E. Utgoff Improved Training Via Incremental Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Scott H. Clearwater , Tze-Pin Chen , Haym Hirsh , Bruce G. Buchanan Incremental Batch Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Kevin Thompson , Pat Langley Incremental Concept Formation with Composite Objects. [Citation Graph (0, 0)][DBLP ] Conf ] Rich Caruana , J. David Schaffer , Larry J. Eshelman Using Multiple Representations to Improve Inductive Bias: Gray and Binary Coding for Genetic Algorithms. [Citation Graph (0, 0)][DBLP ] Conf ] John H. Gennari Focused Concept Formation. [Citation Graph (0, 0)][DBLP ] Conf ] Antoine Cornuéjols An Exploration Into Incremental Learning: the INFLUENCE System. [Citation Graph (0, 0)][DBLP ] Conf ] David W. Aha Incremental, Instance-Based Learning of Independent and Graded Concept Descriptions. [Citation Graph (0, 0)][DBLP ] Conf ] Ming Tan , Jeffrey C. Schlimmer Cost-Sensitive Concept Learning of Sensor Use in Approach ad Recognition. [Citation Graph (0, 0)][DBLP ] Conf ] Joel D. Martin Reducing Redundant Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Jakub Segen Incremental Clustering by Minimizing Representation Length. [Citation Graph (0, 0)][DBLP ] Conf ] Shaul Markovitch , Paul D. Scott Information Filters and Their Implementation in the SYLLOG System. [Citation Graph (0, 0)][DBLP ] Conf ] Eric Wefald , Stuart J. Russell Adaptive Learning of Decision-Theoretic Search Control Knowledge. [Citation Graph (0, 0)][DBLP ] Conf ] Oliver G. Selfridge Atoms of Learning II: Adaptive Strategies A Study of Two-Person Zero-Sum Competition. [Citation Graph (0, 0)][DBLP ] Conf ] Terence C. Fogarty An Incremental Genetic Algorithm for Real-Time Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Ronald R. Yager , Kenneth M. Ford Participatory Learning: A Constructivist Model. [Citation Graph (0, 0)][DBLP ] Conf ] Devika Subramanian Representational Issues in Machine Learning. [Citation Graph (0, 0)][DBLP ] Conf ] John Woodfill Labor Saving New Distinctions. [Citation Graph (0, 0)][DBLP ] Conf ] Devika Subramanian A Theory of Justified Reformulations. [Citation Graph (0, 0)][DBLP ] Conf ] Patricia J. Riddle Reformation from State Space to Reduction Space. [Citation Graph (0, 0)][DBLP ] Conf ] James P. Callan Knowledge-Based Feature Generation. [Citation Graph (0, 0)][DBLP ] Conf ] Richard Maclin , Jude W. Shavlik Enriching Vocabularies by Generalizing Explanation Structures. [Citation Graph (0, 0)][DBLP ] Conf ] Scott Dietzen , Frank Pfenning Higher-Order and Modal Logic as a Framework for Explanation-Based Generalization. [Citation Graph (0, 0)][DBLP ] Conf ] Russell Greiner Towards a Formal Analysis of EBL. [Citation Graph (0, 0)][DBLP ] Conf ] Robert C. Holte , Robert M. Zimmer A Mathematical Framework for Studying Representation. [Citation Graph (0, 0)][DBLP ] Conf ] Jeffrey C. Schlimmer Refining Representations to Improve Problem Solving Quality. [Citation Graph (0, 0)][DBLP ] Conf ] Larry A. Rendell Comparing Systems and analyzing Functions to Improve Constructive Induction. [Citation Graph (0, 0)][DBLP ] Conf ] Sharad Saxena Evaluating alternative Instance Representations. [Citation Graph (0, 0)][DBLP ] Conf ] Lonnie Chrisman Evaluating Bias During Pac-Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Pankaj Mehra Constructive Induction Framework. [Citation Graph (0, 0)][DBLP ] Conf ] Luc De Raedt , Maurice Bruynooghe Constructive Induction by Analogy. [Citation Graph (0, 0)][DBLP ] Conf ] Mieczyslaw M. Kokar Concept Discovery Through Utilization of Invariance Embedded in the Description Language. [Citation Graph (0, 0)][DBLP ] Conf ] Benjamin N. Grosof , Stuart J. Russell Declarative Bias for Structural Domains. [Citation Graph (0, 0)][DBLP ] Conf ] Richard M. Keller Compiling Learning Vocabulary from a Performance System Description. [Citation Graph (0, 0)][DBLP ] Conf ] Sunil Mohan , Chris Tong Automatic Construction of a Hierarchical Generate-and-Test Algorithm. [Citation Graph (0, 0)][DBLP ] Conf ] Jane Yung-jen Hsu A Knowledge-Level Analysis of Informing. [Citation Graph (0, 0)][DBLP ] Conf ] Jack Mostow An Object-Oriented Representation for Search algorithms. [Citation Graph (0, 0)][DBLP ] Conf ] Bruce L. Lambert , David K. Tcheng , Stephen C. Y. Lu Generalized Recursive Splitting Algorithms for Learning Hybrid Concepts. [Citation Graph (0, 0)][DBLP ] Conf ] Diana F. Gordon Screening Hypotheses with Explicit Bias. [Citation Graph (0, 0)][DBLP ] Conf ] Christian de Sainte Marie Building A Learning Bias from Perceived Dependencies. [Citation Graph (0, 0)][DBLP ] Conf ] Katharina Morik , Jörg-Uwe Kietz A Bootstrapping Approach to Concept Clustering. [Citation Graph (0, 0)][DBLP ] Conf ] Hans Tallis Overcoming Feature Space Bias in a Reactive Environment. [Citation Graph (0, 0)][DBLP ] Conf ] 