3050 search results - page 287 / 610 » On-line Algorithms in Machine Learning |
173
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NEUROSCIENCE
2001
Springer
15 years 9 months ago
2001
Springer
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...
140
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ICML
2010
IEEE
15 years 5 months ago
2010
IEEE
We propose a novel boosting algorithm which improves on current algorithms for weighted voting classification by striking a better balance between classification accuracy and the ...
163
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ROBOCUP
2004
Springer
15 years 10 months ago
2004
Springer
Abstract. An object recognition process in general is designed as a domain specific, highly specialized task. As the complexity of such a process tends to be rather inestimable, m...
131
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ICML
2009
IEEE
16 years 5 months ago
2009
IEEE
Despite popular belief, boosting algorithms and related coordinate descent methods are prone to overfitting. We derive modifications to AdaBoost and related gradient-based coordin...
135
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ICML
2004
IEEE
16 years 5 months ago
2004
IEEE
Conditional Random Fields (CRFs; Lafferty, McCallum, & Pereira, 2001) provide a flexible and powerful model for learning to assign labels to elements of sequences in such appl...