3708 search results - page 514 / 742 » The Inverse Classification Problem |
145
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
In this paper we study a new framework introduced by Vapnik (1998) and Vapnik (2006) that is an alternative capacity concept to the large margin approach. In the particular case o...
163
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
Low-rank matrix decompositions are essential tools in the application of kernel methods to large-scale learning problems. These decompositions have generally been treated as black...
180
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
Unsupervised learning methods often involve summarizing the data using a small number of parameters. In certain domains, only a small subset of the available data is relevant for ...
173
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
We propose a general framework for learning from labeled and unlabeled data on a directed graph in which the structure of the graph including the directionality of the edges is co...
185
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ICML
2003
IEEE
16 years 7 months ago
2003
IEEE
We investigate how stack filter function classes like weighted order statistics can be applied to classification problems. This leads to a new design criteria for linear classifie...