2512 search results - page 88 / 503 » Learning from Highly Structured Data by Decomposition |
JUCS
2010
14 years 10 months ago
2010
: Ontologies are used to represent a variety of domain knowledge and data collections, scopes, viewpoints and linked heterogeneous information sources. They range from simple topol...
109
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ITRE
2005
IEEE
15 years 5 months ago
2005
IEEE
A Bayesian network model is a popular technique for data mining due to its intuitive interpretation. This paper presents a semantic genetic algorithm (SGA) to learn a complete qual...
103
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COLING
1996
15 years 1 months ago
1996
The Decision Tree Learning Algorithms (DTLAs) are getting keen attention from the natural language processing research comlnunity, and there have been a series of attempts to appl...
ICIP
2004
IEEE
16 years 1 months ago
2004
IEEE
In this paper we present a coherent approach using the hierarchical HMM with shared structures to extract the structural units that form the building blocks of an education/traini...
106
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IICAI
2003
15 years 1 months ago
2003
Abstract. We introduce a new genetic algorithm approach for learning a Bayesian network structure from data. Our method is capable of learning over all node orderings and structure...