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Machine Learning: ECML-95 : 8th European Conference on Machine Learning Heraclion, Crete, Greece, April 25-27, 1995 Proceedings / edited by Nada Lavrac, Stefan Wrobel.

By: Lavrač, NadaContributor(s): Wrobel, StefanMaterial type: TextTextSeries: Serienbezeichnung | Lecture notes in computer science. Lecture notes in artificial intelligence ; ; 912.Publication details: Berlin, Heidelberg : Springer Berlin Heidelberg, 1995. Description: 1 online resource (XI, 370 pages)Content type: text Media type: computer Carrier type: online resourceISBN: 9783540492320; 3540492321Subject(s): Computer science | Computer software | Artificial intelligence | Artificial intelligence | Computer science | Computer software | Computer Science | Engineering & Applied SciencesGenre/Form: Electronic books. Additional physical formats: Print version:: No titleDDC classification: 006.3 LOC classification: Q334-342TJ210.2-211.495Online resources: Click here to access online
Contents:
Reasoning and learning in probabilistic and possibilistic networks: An overview -- Problem decomposition and the learning of skills -- Machine learning in the world wide web -- Abstract computer models: Towards a new method for theorizing about adaptive agents -- Learning abstract planning cases -- The role of prototypicality in exemplar-based learning -- Specialization of recursive predicates -- A distributed genetic algorithm improving the generalization behavior of neural networks -- Learning non-monotonic logic programs: Learning exceptions -- A comparative utility analysis of case-based reasoning and control-rule learning systems -- A minimization approach to propositional inductive learning -- On concept space and hypothesis space in case-based learning algorithms -- The power of decision tables -- Pruning multivariate decision trees by hyperplane merging -- Multiple-Knowledge Representations in concept learning -- The effect of numeric features on the scalability of inductive learning programs -- Analogical logic program synthesis from examples -- A guided tour through hypothesis spaces in ILP -- JIGSAW: Puzzling together RUTH and SPECTRE (Extended abstract) -- Discovery of constraints and data dependencies in relational databases (Extended abstract) -- Learning disjunctive normal forms in a dual classifier system (Extended abstract) -- The effects of noise on efficient incremental induction (Extended abstract) -- Analysis of Rachmaninoff's piano performances using inductive logic programming (Extended abstract) -- Handling real numbers in ILP: A step towards better behavioural clones (Extended abstract) -- Simplifying decision trees by pruning and grafting: New results (Extended abstract) -- A tight integration of pruning and learning (Extended abstract) -- Decision-tree based neural network (Extended abstract) -- Learning recursion with iterative bootstrap induction (Extended abstract) -- Patching proofs for reuse (Extended abstract) -- Adapting to drift in continuous domains (Extended abstract) -- Parallel recombinative reinforcement learning (Extended abstract) -- Learning to solve complex tasks for reactive systems (Extended abstract) -- Co-operative Reinforcement Learning by payoff filters (Extended abstract) -- Automatic synthesis of control programs by combination of learning and problem solving methods (Extended abstract) -- Analytical learning guided by empirical technology: An approach to integration (Extended abstract) -- A new MDL measure for robust rule induction (Extended abstract) -- Class-driven statistical discretization of continuous attributes (Extended abstract) -- Generating neural networks through the induction of threshold logic unit trees (Extended abstract) -- Learning classification rules using lattices (Extended abstract) -- Hybrid classification: Using axis-parallel and oblique subdivisions of the attribute space (Extended abstract) -- An induction-based control for genetic algorithms (Extended abstract) -- Fender: An approach to theory restructuring (extended abstract) -- Language series revisited: The complexity of hypothesis spaces in ILP (Extended abstract) -- Prototype, nearest neighbor and hybrid algorithms for time series classification (Extended abstract).
Summary: This volume constitutes the proceedings of the Eighth European Conference on Machine Learning ECML-95, held in Heraclion, Crete in April 1995. Besides four invited papers the volume presents revised versions of 14 long papers and 26 short papers selected from a total of 104 submissions. The papers address all current aspects in the area of machine learning; also logic programming, planning, reasoning, and algorithmic issues are touched upon.
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This volume constitutes the proceedings of the Eighth European Conference on Machine Learning ECML-95, held in Heraclion, Crete in April 1995. Besides four invited papers the volume presents revised versions of 14 long papers and 26 short papers selected from a total of 104 submissions. The papers address all current aspects in the area of machine learning; also logic programming, planning, reasoning, and algorithmic issues are touched upon.

Reasoning and learning in probabilistic and possibilistic networks: An overview -- Problem decomposition and the learning of skills -- Machine learning in the world wide web -- Abstract computer models: Towards a new method for theorizing about adaptive agents -- Learning abstract planning cases -- The role of prototypicality in exemplar-based learning -- Specialization of recursive predicates -- A distributed genetic algorithm improving the generalization behavior of neural networks -- Learning non-monotonic logic programs: Learning exceptions -- A comparative utility analysis of case-based reasoning and control-rule learning systems -- A minimization approach to propositional inductive learning -- On concept space and hypothesis space in case-based learning algorithms -- The power of decision tables -- Pruning multivariate decision trees by hyperplane merging -- Multiple-Knowledge Representations in concept learning -- The effect of numeric features on the scalability of inductive learning programs -- Analogical logic program synthesis from examples -- A guided tour through hypothesis spaces in ILP -- JIGSAW: Puzzling together RUTH and SPECTRE (Extended abstract) -- Discovery of constraints and data dependencies in relational databases (Extended abstract) -- Learning disjunctive normal forms in a dual classifier system (Extended abstract) -- The effects of noise on efficient incremental induction (Extended abstract) -- Analysis of Rachmaninoff's piano performances using inductive logic programming (Extended abstract) -- Handling real numbers in ILP: A step towards better behavioural clones (Extended abstract) -- Simplifying decision trees by pruning and grafting: New results (Extended abstract) -- A tight integration of pruning and learning (Extended abstract) -- Decision-tree based neural network (Extended abstract) -- Learning recursion with iterative bootstrap induction (Extended abstract) -- Patching proofs for reuse (Extended abstract) -- Adapting to drift in continuous domains (Extended abstract) -- Parallel recombinative reinforcement learning (Extended abstract) -- Learning to solve complex tasks for reactive systems (Extended abstract) -- Co-operative Reinforcement Learning by payoff filters (Extended abstract) -- Automatic synthesis of control programs by combination of learning and problem solving methods (Extended abstract) -- Analytical learning guided by empirical technology: An approach to integration (Extended abstract) -- A new MDL measure for robust rule induction (Extended abstract) -- Class-driven statistical discretization of continuous attributes (Extended abstract) -- Generating neural networks through the induction of threshold logic unit trees (Extended abstract) -- Learning classification rules using lattices (Extended abstract) -- Hybrid classification: Using axis-parallel and oblique subdivisions of the attribute space (Extended abstract) -- An induction-based control for genetic algorithms (Extended abstract) -- Fender: An approach to theory restructuring (extended abstract) -- Language series revisited: The complexity of hypothesis spaces in ILP (Extended abstract) -- Prototype, nearest neighbor and hybrid algorithms for time series classification (Extended abstract).

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