Searching for "Learning in structured domains." – sorted by Relevance.
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Representation Changes for Efficient Learning in Structural Domains
- Representation Changes for Efficient Learning in Structural Domains Jean-Daniel Zucker Jean
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Kernels on prolog ground terms
- in structured domains, presenting experimental results in a QSPR task. 1 Introduction Starting from the seminal
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Learning Structurally Indeterminate Clauses
- in structural domains such as medicine, chemistry or Chinese characters. The efficiency of REPART, that learns
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Contextual processing of structured data by recursive cascade correlation
- for structured data, computational power, learning in structured domains. I. INTRODUCTION RECURSIVE Neural
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Smart Crossover Operator with Multiple Parents for a
- recombination, does not learn the structure of the domain, but it merges the rules of N parents (N ≥ 2
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In Proceedings of the Twentieth National Conference on Artificial Intelligence (AAAI), Pittsburgh, PA, July 2005
- , PA, July 2005 Distribution-Free Learning of Bayesian Network Structure in Continuous Domains Abstract
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Probabilistic Policy Reuse in a Reinforcement Learning
- , contributing the learning of the structure of a domain. 1. INTRODUCTION We introduce Policy Reuse as a
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Reusing and Building a Policy Library
- algorithm has an interesting “side-effect,” namely the learning of the structure of the domain
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On kernel methods for relational learning
- to learn in structured domains such as natural language, object recognition, and computational biology, one
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Concept Formation in Structured Domains
- and plans for future research. 2. Concept Learning in Structured Domains Labyrinth carries out incremental
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