1340 search results - page 202 / 268 » Structure learning of Bayesian networks using constraints |
142
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ECTEL
2007
Springer
15 years 11 months ago
2007
Springer
Blogs have the aordance to become an integral part of teaching and learning processes as a vehicle for knowledge management. Open, exible systems integrating blogs provide user-f...
137
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AUSAI
2005
Springer
15 years 10 months ago
2005
Springer
: In order to scale to problems with large or continuous state-spaces, reinforcement learning algorithms need to be combined with function approximation techniques. The majority of...
157
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ENGL
2007
15 years 4 months ago
2007
—“A General Reflex Fuzzy Min-Max Neural Network” (GRFMN) is presented. GRFMN is capable to extract the underlying structure of the data by means of supervised, unsupervised a...
150
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ML
2008
ACM
15 years 4 months ago
2008
ACM
Although memory-based classifiers offer robust classification performance, their widespread usage on embedded devices is hindered due to the device's limited memory resources...
124
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ALT
2003
Springer
15 years 8 months ago
2003
Springer
Abstract. A crucial problem in machine learning is to choose an appropriate representation of data, in a way that emphasizes the relations we are interested in. In many cases this ...