| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Jack Mostow, Armand Prieditis |
Discovering Admissible Search Heuristics by Abstracting and Optimizing.  |
ML  |
1989 |
DBLP BibTeX RDF |
|
| 1 | Steven D. Whitehead, Dana H. Ballard |
A Role for Anticipation in Reactive Systems that Learn. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Donald Rose |
Using Domain Knowledge to Aid Scientific Theory Revision. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Jakub Segen |
Incremental Clustering by Minimizing Representation Length. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Rodney M. Goodman, Padhraic Smyth |
The Induction of Probabilistic Rule Sets - The Itrule Algorithm. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Sharad Saxena |
Evaluating alternative Instance Representations. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Lonnie Chrisman |
Evaluating Bias During Pac-Learning. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | John A. Allen, Pat Langley |
Using Concept Hierarchies to Organize Plan Knowledge. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Hans Tallis |
Overcoming Feature Space Bias in a Reactive Environment. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Patricia J. Riddle |
Reformation from State Space to Reduction Space. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Timothy M. Converse, Kristian J. Hammond, Mitchell Marks |
Learning from Opportunity. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Bruce L. Lambert, David K. Tcheng, Stephen C. Y. Lu |
Generalized Recursive Splitting Algorithms for Learning Hybrid Concepts. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Andrea Pohoreckyj Danyluk |
Finding New Rules for Incomplete Theories: Explicit Biases for Induction with Contextual Information. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Diana F. Gordon |
Screening Hypotheses with Explicit Bias. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Francesco Bergadano, Attilio Giordana, S. Ponsero |
Deduction in Top-Down Inductive Learning. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Devika Subramanian |
A Theory of Justified Reformulations. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Deepak Kulkarni, Herbert A. Simon |
The Role of Experimentation in Scientific Theory Revision. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Masayuki Numao, Masamichi Shimura |
Explanation-Based Acceleration of Similarity-Based Learning. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | George Drastal, Regine Meunier, Stan Raatz |
Error Correction in Constructive Induction. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Gerhard Friedrich, Wolfgang Nejdl |
Using Domain Knowledge to Improve Inductive Learning Algorithms for Diagnosis. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Devika Subramanian |
Representational Issues in Machine Learning. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Christian de Sainte Marie |
Building A Learning Bias from Perceived Dependencies. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Nicholas S. Flann |
Learning Appropriate Abstractions for Planning in Formation Problems. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Sridhar Mahadevan |
Using Determinations in EBL: A Solution to the incomplete Theory Problem. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Michael H. Sims, John L. Bresina |
Discovering Mathematical Operation Definitions. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | David Haines |
Explanation Based Learning as Constrained Search. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Kurt VanLehn |
Discovering Problem Solving Strategies: What Humans Do and Machines Don't (Yet). |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Kent A. Spackman |
Signal Detection Theory: Valuable Tools for Evaluating Inductive Learning. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Jim Blythe, Tom M. Mitchell |
On Becoming Reactive. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | J. Ross Quinlan |
Unknown Attribute Values in Induction. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Ronald R. Yager, Kenneth M. Ford |
Participatory Learning: A Constructivist Model. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Richard Maclin, Jude W. Shavlik |
Enriching Vocabularies by Generalizing Explanation Structures. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | James P. Callan |
Knowledge-Based Feature Generation. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | David C. Wilkins, Kok-Wah Tan |
Knowledge Base Refinement as Improving an Incorrect, Inconsistent and Incomplete Domain Theory. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Eric Wefald, Stuart J. Russell |
Adaptive Learning of Decision-Theoretic Search Control Knowledge. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Wray L. Buntine |
Learning Classification Rules Using Bayes. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Jude W. Shavlik |
An Empirical Analysis of EBL Approaches for Learning Plan Schemata. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Richard M. Keller |
Compiling Learning Vocabulary from a Performance System Description. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Paul O'Rorke, Steven Morris, David Schulenburg |
Theory Formation by Abduction: Initial Results of a Case Study Based on the Chemical Revolution. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Marco Valtorta |
Some Results on the Complexity of Knowledge-Based Refinement. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Pankaj Mehra |
Constructive Induction Framework. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Pat Langley |
Unifying Themes in Empirical and Explanation-Based Learning. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Stephen H. Muggleton, Michael Bain 0001, Jean Hayes Michie, Donald Michie |
An Experimental Comparison of Human and Machine Learning Formalisms. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Keith R. Levi, Valerie L. Shalin, David L. Perschbacher |
Identifying Knowledge Base Deficiencies by Observing User Behavior. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Bruce Krulwich, Gregg Collins, Lawrence Birnbaum |
Improving Decision-Making on the Basis of Experience. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Chris Tong, Phil Franklin |
Toward Automated Rational Reconstruction: A Case Study. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Ralph Barletta, Randy Kerber |
Improving Explanation-Based Indexing with Empirical Learning. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Shankar A. Rajamoney |
Exemplar-Based Theory Rejection: An Approach to the Experience Consistency Problem. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Sunil Mohan, Chris Tong |
Automatic Construction of a Hierarchical Generate-and-Test Algorithm. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Lawrence Birnbaum, Gregg Collins, Bruce Krulwich |
Issues in the Justification-Based Diagnosis of Planning Failures. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Keith R. Levi, David L. Perschbacher, Valerie L. Shalin |
Learning Tactical Plans for Pilot Aiding. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Luc De Raedt, Maurice Bruynooghe |
Constructive Induction by Analogy. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Michael J. Pazzani |
Explanation-Based Learning with Week Domain Theories. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Jude W. Shavlik, Geoffrey G. Towell |
Combining Explanation-Based Learning and Artificial Neural Networks. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Scott H. Clearwater, Tze-Pin Chen, Haym Hirsh, Bruce G. Buchanan |
Incremental Batch Learning. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Lawrence B. Holder |
Empirical Substructure Discovery. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Steve A. Chien |
Learning by Analyzing Fortuitous Occurrences. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Lawrence Hunter |
Knowledge Acquisition Planning: Results and Prospects. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Paul E. Utgoff |
Improved Training Via Incremental Learning. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | John Woodfill |
Labor Saving New Distinctions. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Tom Fawcett |
Learning from Plausible Explanations. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Gerhard Widmer |
A Tight Integration of Deductive Learning. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Allen Ginsberg |
Knowledge Base Refinement and Theory Revision. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Michael Wollowski |
A Schema for an Integrated Learning System. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Jianping Zhang, Ryszard S. Michalski |
A Description of Preference Criterion in Constructive Learning: A Discussion of Basis Issues. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Robert C. Holte, Robert M. Zimmer |
A Mathematical Framework for Studying Representation. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Kenneth S. Murray, Bruce W. Porter |
Controlling Search for the Consequences of New Information During Knowledge Integration. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Jungsoon P. Yoo, Douglas H. Fisher |
Conceptual Clustering of Explanations. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Russell Greiner |
Towards a Formal Analysis of EBL. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Philip K. Chan |
Inductive Learning with BCT. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Scott Dietzen, Frank Pfenning |
Higher-Order and Modal Logic as a Framework for Explanation-Based Generalization. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Benjamin N. Grosof, Stuart J. Russell |
Declarative Bias for Structural Domains. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Alex Kass |
Adaptation-Based Explanation: Explanations as Cases. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Kevin Thompson 0001, Pat Langley |
Incremental Concept Formation with Composite Objects. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Wendy Sarrett, Michael J. Pazzani |
One-Sided Algorithms for Integrating Empirical and Explanation-Based Learning. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | John J. Grefenstette |
Incremental Learning of Control Strategies with Genetic algorithms. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Antoine Cornuéjols |
An Exploration Into Incremental Learning: the INFLUENCE System. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Joel D. Martin |
Reducing Redundant Learning. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Colleen M. Seifert |
A Retrieval Model Using Feature Selection. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Charles W. Anderson |
Tower of Hanoi with Connectionist Networks: Learning New Features. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Cullen Schaffer |
Bacon, Data Analysis and Artificial Intelligence. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Gheorghe Tecuci, Yves Kodratoff |
Multi-Strategy Learning in Nonhomongeneous Domain Theories. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Haym Hirsh |
Combining Empirical and Analytical Learning with Version Spaces. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Thomas G. Dietterich |
Limitations on Inductive Learning. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Prasad Tadepalli |
Planning Approximate Plans for Use in the Real World. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Michel Manago |
Knowledge Intensive Induction. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Ritchey A. Ruff, Thomas G. Dietterich |
What Good Are Experiments?. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Jeffrey C. Schlimmer |
Refining Representations to Improve Problem Solving Quality. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Terence C. Fogarty |
An Incremental Genetic Algorithm for Real-Time Learning. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | David W. Aha |
Incremental, Instance-Based Learning of Independent and Graded Concept Descriptions. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | 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. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Kamal M. Ali |
Augmenting Domain Theory for Explanation-Based Generalization. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Paul D. Scott, Shaul Markovitch |
Uncertainty Based Selection of Learning Experiences. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Matjaz Gams, Aram Karalic |
New Empirical Learning Mechanisms Perform Significantly Better in Real Life Domains. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Mike R. Hilliard, Gunar E. Liepins, Gita Rangarajan, Mark R. Palmer |
Learning Decision Rules for scheduling Problems: A Classifier Hybrid Approach. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | W. Scott Spangler, Usama M. Fayyad, Ramasamy Uthurusamy |
Induction of Decision Trees from Inconclusive Data. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Jane Yung-jen Hsu |
A Knowledge-Level Analysis of Informing. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | 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. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Steven Morris |
Reducing Search and Learning Goal Preferences. |
ML |
1989 |
DBLP BibTeX RDF |
|
| 1 | Leslie Pack Kaelbling |
A Formal Framework for Learning in Embedded Systems. |
ML |
1989 |
DBLP BibTeX RDF |
|
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