1532 search results - page 130 / 307 » A statistical approach to rule learning |
167
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
We propose Laplace max-margin Markov networks (LapM3 N), and a general class of Bayesian M3 N (BM3 N) of which the LapM3 N is a special case with sparse structural bias, for robus...
160
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IJCAI
2007
15 years 7 months ago
2007
The training of support vector machines (SVM) involves a quadratic programming problem, which is often optimized by a complicated numerical solver. In this paper, we propose a muc...
170
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ISCAS
1994
IEEE
15 years 10 months ago
1994
IEEE
In this paper, we propose a new approach of solving the stereopsis problem with a discrete-time cellular neural network(DTCNN) where each node has connectionsonly with its local n...
181
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SBIA
2000
Springer
15 years 10 months ago
2000
Springer
In recent years, the Natural Language Processing scene has witnessed the steady growth of interest in connectionist modeling. The main appeal of such an approach is that one does n...
185
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
Markov logic networks (MLNs) are a statistical relational model that consists of weighted firstorder clauses and generalizes first-order logic and Markov networks. The current sta...