1013 search results - page 139 / 203 » General Game Learning Using Knowledge Transfer |
112
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DIAGRAMS
2004
Springer
15 years 7 months ago
2004
Springer
Decision trees are a widely used knowledge representation in machine learning. However, one of their main drawbacks is the inherent replication of isomorphic subtrees, as a result...
108
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WSC
2000
15 years 3 months ago
2000
Web-based study resources can be viewed as a basic requirement in order to remain a competitive player on a more and more globalised educational market. For that reason it is gett...
101
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ICIP
2008
IEEE
16 years 4 months ago
2008
IEEE
An empirical study of the domain of patch-based learning algorithms for image and video processing is conducted. As patch-based algorithms are commonly used, knowledge of the prop...
127
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HIS
2004
15 years 3 months ago
2004
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
139
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ECCV
2010
Springer
15 years 5 months ago
2010
Springer
Advanced surveillance systems for behavior recognition in outdoor traffic scenes depend strongly on the particular configuration of the scenario. Scene-independent trajectory analy...