2712 search results - page 60 / 543 » On learning algorithm selection for classification |
130
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ICMLA
2008
15 years 3 months ago
2008
In evolving applications, there is a need for the dynamic selection of algorithms or algorithm parameters. Such selection is hardly ever governed by exact theory, so intelligent r...
103
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CVPR
2007
IEEE
16 years 4 months ago
2007
IEEE
We compare the practical performance of several recently proposed algorithms for active learning in the online classification setting. We consider two active learning algorithms (...
139
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ECML
2006
Springer
15 years 5 months ago
2006
Springer
In this paper, we provide a study on the use of tree kernels to encode syntactic parsing information in natural language learning. In particular, we propose a new convolution kerne...
137
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ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
The goal of transfer learning is to improve the learning of a new target concept given knowledge of related source concept(s). We introduce the first boosting-based algorithms for...
104
Voted
ICIP
2009
IEEE
16 years 3 months ago
2009
IEEE
With the heterogeneous nature of tissue texture, using a single resolution approach for optimum classification might not suffice. In contrast, a multiresolution wavelet packet ana...