1731 search results - page 49 / 347 » Maximum likelihood analysis of algorithms and data structure... |
129
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ICDM
2003
IEEE
15 years 9 months ago
2003
IEEE
Learning Bayesian network structure from large-scale data sets, without any expertspecified ordering of variables, remains a difficult problem. We propose systematic improvements ...
130
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ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
Mobile robots often rely upon systems that render sensor data and perceptual features into costs that can be used in a planner. The behavior that a designer wishes the planner to ...
150
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ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
Semi-supervised learning has emerged as a popular framework for improving modeling accuracy while controlling labeling cost. Based on an extension of stochastic composite likeliho...
145
Voted
BIBE
2007
IEEE
15 years 10 months ago
2007
IEEE
Abstract—This paper develops an algorithm for NMR backbone resonance assignment given a 3D structure and a set of relatively sparse 15 N-edited NMR data, with the through-space 1...
120
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NIPS
2007
15 years 5 months ago
2007
Maximum entropy analysis of binary variables provides an elegant way for studying the role of pairwise correlations in neural populations. Unfortunately, these approaches suffer f...