901 search results - page 37 / 181 » Modelling Complex Data by Learning Which Variable to Constru... |
154
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BMCBI
2010
14 years 12 months ago
2010
Background: Mass spectrometry has become a standard method by which the proteomic profile of cell or tissue samples is characterized. To fully take advantage of tandem mass spectr...
154
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ICMCS
2008
IEEE
15 years 9 months ago
2008
IEEE
Several stochastic models provide an effective framework to identify the temporal structure of audiovisual data. Most of them need as input a first video structure, i.e. connecti...
170
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STAIRS
2008
15 years 3 months ago
2008
This paper presents an extensive evaluation, on artificial datasets, of EDY, an unsupervised algorithm for automatically synthesizing a Structured Hidden Markov Model (S-HMM) from ...
119
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KDD
1999
ACM
15 years 6 months ago
1999
ACM
In this paper a concern about the accuracy (as a function of parallelism) of a certain class of distributed learning algorithms is raised, and one proposed improvement is illustrat...
106
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AAAI
2008
15 years 4 months ago
2008
For many machine learning solutions to complex applications, there are significant performance advantages to decomposing the overall task into several simpler sequential stages, c...