102 search results - page 15 / 21 » A Faster Algorithm for Generalized Multiple-Instance Learnin... |
126
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SDM
2011
SIAM
14 years 2 months ago
2011
SIAM
In many real world prediction problems the output is a structured object like a sequence or a tree or a graph. Such problems range from natural language processing to computationa...
122
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CORR
2012
Springer
13 years 7 months ago
2012
Springer
The key limiting factor in graphical model inference and learning is the complexity of the partition function. We thus ask the question: what are the most general conditions under...
103
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KDD
2006
ACM
16 years 3 days ago
2006
ACM
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...
PPSN
2010
Springer
14 years 10 months ago
2010
Springer
Abstract. The game of Go has attracted much attention from the artificial intelligence community. A key feature of Go is that humans begin to learn on a small board, and then incr...
CIKM
2008
Springer
15 years 1 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...