2712 search results - page 397 / 543 » On learning algorithm selection for classification |
101
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CIKM
2008
Springer
15 years 2 months ago
2008
Springer
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
134
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CICC
2011
14 years 22 days ago
2011
Efforts to achieve the long-standing dream of realizing scalable learning algorithms for networks of spiking neurons in silicon have been hampered by (a) the limited scalability of...
115
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AGENTS
1999
Springer
15 years 5 months ago
1999
Springer
Most work on intelligent information agents has thus far focused on systems that are accessible through the World Wide Web. As demanding schedules prohibit people from continuous ...
103
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AIPS
2008
15 years 3 months ago
2008
The current evaluation functions for heuristic planning are expensive to compute. In numerous domains these functions give good guidance on the solution, so it worths the computat...
108
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ECCV
2010
Springer
15 years 29 days ago
2010
Springer
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...