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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| Médium: | Livre numérique |
| Jazyk: | Anglais |
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| Edice: | Lecture notes in computer science. Lecture notes in artificial intelligence
912 |
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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 |
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| 100 | 1 | |a Lavrač, Nada, |d 1953- | |
| 245 | 1 | 0 | |a Machine learning : |b ECML-95 : 8th European Conference on Machine Learning, Heraclion, Crete, Greece, April 25 27, 1995 : proceedings |c [edited by] Nada Lavrac, Stefan Wrobel. |
| 260 | |a Berlin [etc.] : |b Springer. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Lecture notes in computer science. Lecture notes in artificial intelligence |v 912 |x 1611-3349 |x 2945-9141 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 0 | |a 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). | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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. | ||
| 650 | |a Informatique | ||
| 650 | |a Apprentissage automatique | ||
| 650 | |a Algorithmes | ||
| 650 | |a Intelligence artificielle | ||
| 650 | |a Actes de congrès | ||
| 700 | 1 | |a Wrobel, Stefan, |d 1962- |4 pbd | |
| 711 | 2 | |a European conference on machine learning |n (08 |d :1995 |c :Heraklion, Crète, Grèce). |4 aut | |
| 776 | 0 | |0 023475242 |t Machine learning |o ECML-95 |o 8th European Conference on Machine Learning, Heraclion, Crete, Greece, April 25-27, 1995 |o proceedings |f Nada Lavrač, Stefan Wrobel (eds.) |c Berlin |n Springer |d 1995 |p 1 vol. (XI-370 p.) |s Lecture notes in artificial intelligence |z 3-540-59286-5 | |
| 776 | 0 | |t Machine Learning: ECML-95 |b Texte imprimé |z 9783662202036 | |
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