1413 search results - page 234 / 283 » A New Machine Learning Approach to Fingerprint Classificatio... |
111
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LREC
2010
15 years 3 months ago
2010
Automatic acquisition of novel compounds is notoriously difficult because most novel compounds have relatively low frequency in a corpus. The current study proposes a new method t...
117
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NECO
2006
15 years 1 months ago
2006
The application of boosting technique to the regression problems has received relatively little attention in contrast to the research aimed at classification problems. This paper ...
110
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SIAMCOMP
2000
15 years 1 months ago
2000
Abstract. We consider two natural generalizations of the notion of transversal to a finite hypergraph, arising in data-mining and machine learning, the so called multiple and parti...
129
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JMLR
2010
14 years 8 months ago
2010
Markov Random Fields (MRFs) are an important class of probabilistic models which are used for density estimation, classification, denoising, and for constructing Deep Belief Netwo...
104
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DIS
2006
Springer
15 years 5 months ago
2006
Springer
In supervised machine learning, variable ranking aims at sorting the input variables according to their relevance w.r.t. an output variable. In this paper, we propose a new relevan...