Machine learning : ECML-95 : 8th European Conference on Machine Learning, Heraclion, Crete, Greece, April 25 27, 1995 : proceedings
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 a...
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| Edice: | Lecture notes in computer science. Lecture notes in artificial intelligence
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| Edition sous un autre format: | • Machine learning, ECML-95, 8th European Conference on Machine Learning, Heraclion, Crete, Greece, April 25-27, 1995, proceedings, Nada Lavrač, Stefan Wrobel (eds.), Berlin, Springer, 1995, 1 vol. (XI-370 p.), Lecture notes in artificial intelligence, 3-540-59286-5 • Machine Learning: ECML-95, Texte imprimé, 9783662202036 |
Obsah:
- 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 (Extendedabstract)
- 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).