966 search results - page 72 / 194 » A Two-Level Learning Method for Generalized Multi-instance P... |
114
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NN
2008
Springer
15 years 2 months ago
2008
Springer
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
101
Voted
NIPS
2004
15 years 3 months ago
2004
This paper investigates a new learning model in which the input data is corrupted with noise. We present a general statistical framework to tackle this problem. Based on the stati...
115
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ICML
2004
IEEE
16 years 3 months ago
2004
IEEE
We present an algorithmic framework for supervised classification learning where the set of labels is organized in a predefined hierarchical structure. This structure is encoded b...
111
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CIKM
2011
Springer
14 years 2 months ago
2011
Springer
Machine learning often relies on costly labeled data, and this impedes its application to new classification and information extraction problems. This has motivated the developme...
132
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ICANN
2001
Springer
15 years 7 months ago
2001
Springer
Abstract. In this paper, we propose and study a new on-line algorithm for learning a SVM based on Radial Basis Function Kernel: Local Incremental Learning of SVM or LISVM. Our meth...