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188
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BMCBI
2008
15 years 7 months ago
2008
Background: Inference of evolutionary trees using the maximum likelihood principle is NP-hard. Therefore, all practical methods rely on heuristics. The topological transformations...
218
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MIAR
2006
IEEE
16 years 25 days ago
2006
IEEE
This paper presents a general learning framework for non-rigid registration of MR brain images. Given a set of training MR brain images, three major types of information are partic...
202
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NIPS
2008
15 years 8 months ago
2008
Distributed learning is a problem of fundamental interest in machine learning and cognitive science. In this paper, we present asynchronous distributed learning algorithms for two...
189
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BMCBI
2008
15 years 7 months ago
2008
Background: Sequence searches are routinely employed to detect and annotate related proteins. However, a rapid growth of databases necessitates a frequent repetition of sequence s...
171
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
This paper considers the problem of selecting the most informative experiments x to get measurements y for learning a regression model y = f(x). We propose a novel and simple conc...