375 search results - page 29 / 75 » Bayesian Inference for Sparse Generalized Linear Models |
130
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KDD
2006
ACM
16 years 2 months ago
2006
ACM
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
117
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NN
1997
Springer
15 years 6 months ago
1997
Springer
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
111
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ITCC
2005
IEEE
15 years 7 months ago
2005
IEEE
We propose a novel, computationally efficient generative topographic model for inferring low dimensional representations of high dimensional data sets, designed to exploit data s...
129
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BC
2007
15 years 1 months ago
2007
Complex self-motion stimulations in the dark can be powerfully disorienting and can create illusory motion percepts. In the absence of visual cues, the brain has to use angular and...
117
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RECOMB
2007
Springer
16 years 2 months ago
2007
Springer
Abstract. An important problem in biology is to understand correspondences between mRNA microarray levels and mass spectrometry peptide counts. Recently, a compendium of mRNA expre...