2177 search results - page 257 / 436 » Relative Margin Machines |
285
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CVPR
2011
IEEE
14 years 12 months ago
2011
IEEE
Establishing correspondences between two feature sets is a fundamental issue in computer vision, pattern recognition, and machine learning. This problem can be well formulated as g...
161
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ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
Gradient boosting is a flexible machine learning technique that produces accurate predictions by combining many weak learners. In this work, we investigate its use in two applica...
153
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ICML
2002
IEEE
16 years 4 months ago
2002
IEEE
Kernel-based learning algorithms work by embedding the data into a Euclidean space, and then searching for linear relations among the embedded data points. The embedding is perfor...
133
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KDD
2005
ACM
16 years 4 months ago
2005
ACM
Learning ranking (or preference) functions has been a major issue in the machine learning community and has produced many applications in information retrieval. SVMs (Support Vect...
137
Voted
ALT
2009
Springer
16 years 25 days ago
2009
Springer
Abstract. Learning from streams is a process in which a group of learners separately obtain information about the target to be learned, but they can communicate with each other in ...