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155
Voted
JMLR
2010
14 years 10 months ago
2010
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
151
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3DOR
2010
14 years 10 months ago
2010
While approaches based on local features play a more and more important role for 3D shape retrieval, the problems of feature selection and similarity measurement between sets of l...
142
Voted
ICML
2008
IEEE
16 years 4 months ago
2008
IEEE
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
124
Voted
COLING
2008
15 years 5 months ago
2008
We propose a new integrated approach based on Markov logic networks (MLNs), an effective combination of probabilistic graphical models and firstorder logic for statistical relatio...
159
Voted
CODES
1996
IEEE
15 years 7 months ago
1996
IEEE
Performance modeling and evaluation of embedded hardware/software systems is important to help the CoDesign process. The hardware/software partitioning needs to be evaluated befor...