1034 search results - page 171 / 207 » A Bayesian Metric for Evaluating Machine Learning Algorithms |
106
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GECCO
2006
Springer
15 years 4 months ago
2006
Springer
1 Learnable Evolution Model (LEM) is a form of non-Darwinian evolutionary computation that employs machine learning to guide evolutionary processes. Its main novelty are new type o...
108
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AGI
2011
14 years 4 months ago
2011
Comparing humans and machines is one important source of information about both machine and human strengths and limitations. Most of these comparisons and competitions are performe...
132
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MIR
2004
ACM
15 years 5 months ago
2004
ACM
In content-based image retrieval, relevance feedback has been introduced to narrow the gap between low-level image feature and high-level semantic concept. Furthermore, to speed u...
86
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DCC
2009
IEEE
16 years 29 days ago
2009
IEEE
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
122
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JAIR
2011
14 years 7 months ago
2011
Current evaluation functions for heuristic planning are expensive to compute. In numerous planning problems these functions provide good guidance to the solution, so they are wort...