11963 search results - page 2170 / 2393 » A framework for linguistic modelling |
215
click to vote
NIPS
2008
15 years 8 months ago
2008
For many supervised learning problems, we possess prior knowledge about which features yield similar information about the target variable. In predicting the topic of a document, ...
181
click to vote
NIPS
2008
15 years 8 months ago
2008
Kernel Principal Component Analysis (KPCA) is a popular generalization of linear PCA that allows non-linear feature extraction. In KPCA, data in the input space is mapped to highe...
181
click to vote
IPCO
2007
15 years 8 months ago
2007
Abstract. A well established heuristic approach for solving various bicriteria optimization problems is to enumerate the set of Pareto optimal solutions, typically using some kind ...
174
click to vote
NIPS
2008
15 years 8 months ago
2008
We present a new family of linear time algorithms based on sufficient statistics for string comparison with mismatches under the string kernels framework. Our algorithms improve t...
158
click to vote
NIPS
2008
15 years 8 months ago
2008
We introduce a framework for actively learning visual categories from a mixture of weakly and strongly labeled image examples. We propose to allow the categorylearner to strategic...