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Machine learning : proceedings of the tenth international conference, University of Massachusetts, Amherst, June 27-29, 1993 /
Machine Learning Proceedings 1993.
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | |
| Formato: | Electrónico Congresos, conferencias eBook |
| Idioma: | Inglés |
| Publicado: |
San Mateo, Calif. :
Morgan Kaufmann Pub.,
�1993.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 111 | 2 | |a International Conference on Machine Learning |n (10th : |d 1993 : |c University of Massachusetts) | |
| 245 | 1 | 0 | |a Machine learning : |b proceedings of the tenth international conference, University of Massachusetts, Amherst, June 27-29, 1993 / |c Paul Utgoff, ML93 chair. |
| 264 | 1 | |a San Mateo, Calif. : |b Morgan Kaufmann Pub., |c �1993. | |
| 300 | |a 1 online resource (v, [7], 348 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and indexes. | ||
| 505 | 0 | |a The Evolution of Genetic Algorithms: Towards Massive Parallelism / Shumeet Baluja -- ELENA: A Bottom-Up Learning Method / Pierre Brezellec and Henry Soldano -- Addressing the Selective Superiority Problem: Automatic Algorithm/Model Class Selection / Carla E. Brodley -- Using Decision Trees to Improve Case-Based Learning / Claire Cardie -- GALOIS: An order-theoretic approach to conceptual clustering / Claudio Carpineto and Giovanni Romano -- Multitask Learning: A Knowledge-Based Source of Inductive Bias / Richard A. Caruana -- Using Qualitative Models to Guide Inductive Learning / Peter Clark and Stan Matwin -- Automating Path Analysis for Building Causal Models from Data / Paul R. Cohen, Adam Carlson, Lisa Ballesteros and Robert St. Amant -- Constructing Hidden Variables in Bayesian Networks via Conceptual Clustering / Dennis Connolly -- Learning Symbolic Rules Using Artificial Neural Networks / Mark W. Craven and Jude W. Shavlik. | |
| 505 | 0 | |a Small Disjuncts in Action: Learning to Diagnose Errors in the Local Loop of the Telephone Network / Andrea Pohoreckyj Danyluk and Foster John Provost -- Concept Sharing: A Means to Improve Multi-Concept Learning / Piew Datta and Dennis Kibler -- Discovering Dynamics / Saso Dzeroski and Ljupco Todorovski -- Synthesis of Abstraction Hierarchies for Constraint Satisfaction by Clustering Approximately Equivalent Objects / Thomas Ellman -- SKICAT: A Machine Learning System for Automated Cataloging of Large Scale Sky Surveys / Usama M. Fayyad, Nicholas Weir and S. Djorgovski -- Learning From Entailment: An Application to Propositional Horn Sentences / Michael Frazier and Leonard Pitt -- Efficient Domain-Independent Experimentation / Yolanda Gil -- Learning Search Control Knowledge for Deep Space Network Scheduling / Jonathan Gratch, Steve Chien and Gerald DeJong -- Learning procedures from interactive natural language instructions / Scott B. Huffman and John E. Laird. | |
| 505 | 0 | |a Generalization under Implication by Recursive Anti-unification / Peter Idestam-Almquist -- Supervised learning and divide-and-conquer: A statistical approach / Michael I. Jordan and Robert A. Jacobs -- Hierarchical Learning in Stochastic Domains: Preliminary Results / Leslie Pack Kaelbling -- Constraining Learning with Search Control / Jihie Kim and Paul S. Rosenbloom -- Sealing Up Reinforcement Learning for Robot Control / Long-Ji Lin -- Overcoming Incomplete Perception with Utile Distinction Memory / R. Andrew McCallum -- Explanation Based Learning: A Comparison of Symbolic and Neural Network Approaches / Tom M. Mitchell and Sebastian B. Thrun -- Combinatorial optimization in inductive concept learning / Dunja Mladenic -- Decision Theoretic Subsampling for Induction on Large Databases / Ron Musick, Jason Catlett and Stuart Russell -- Learning DNF Via Probabilistic Evidence Combination / Steven W. Norton and Haym Hirsh. | |
| 505 | 0 | |a Explaining and Generalizing Diagnostic Decisions / Paul O'Rorke, Yousri El Fattah and Margaret Elliott -- Combining Instance-Based and Model-Based Learning / J.R. Quinlan -- Data Mining of Subjective Agricultural Data / R. Bharat Rao, Thomas B. Voigt and Thomas W. Fermanian -- Lookahead Feature Construction for Learning Hard Concepts / Harish Ragavan and Larry Rendell -- Adaptive NeuroControl: How Black Box and Simple can it be / Jean Michel Renders, Hugues Bersini and Marco Saerens -- An SE-tree based Characterization of the Induction Problem / Ron Rymon -- Density-Adaptive Learning and Forgetting / Marcos Salganicoff -- Efficiently Inducing Determinations: A Complete and Systematic Search Algorithm that Uses Optimal Pruning / Jeffrey C. Schlimmer -- Compiling Bayesian Networks into Neural Networks / Eddie Schwalb -- A Reinforcement Learning Method for Maximizing Undiscounted Rewards / Anton Schwartz -- ATM Scheduling with Queuing Delay Predictions / Daniel B. Schwartz. | |
| 505 | 0 | |a Online Learning with Random Representations / Richard S. Sutton and Steven D. Whitehead -- Learning from Queries and Examples with Tree-structured Bias / Prasad Tadepalli -- Multi-Agent Reinforcement Learning: Independent vs. Cooperative Agents / Ming Tan -- Better Learners Use Analogical Problem Solving Sparingly / Kurt Van Lehn and Randolph M. Jones. | |
| 588 | 0 | |a Print version record. | |
| 520 | |a Machine Learning Proceedings 1993. | ||
| 546 | |a English. | ||
| 650 | 0 | |a Machine learning |v Congresses. | |
| 650 | 6 | |a Apprentissage automatique |0 (CaQQLa)201-0131435 |v Congr�es. |0 (CaQQLa)201-0378219 | |
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| 700 | 1 | |a Utgoff, Paul E., |d 1951- | |
| 776 | 0 | 8 | |i Print version: |a International Conference on Machine Learning (10th : 1993 : University of Massachusetts). |t Machine learning |z 1558603077 |w (OCoLC)29321956 |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9781558603073 |z Texto completo |