259 search results - page 17 / 52 » A Hybrid Convergent Method for Learning Probabilistic Networ... |
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
Recent work on background subtraction has shown developments on two major fronts. In one, there has been increasing sophistication of probabilistic models, from mixtures of Gaussi...
IJON
2008
13 years 7 months ago
2008
This paper proposed a kind of unsupervised learning neural network model, which has special structure and can realize an evaluation and classification of many groups by the compres...
TVLSI
2008
13 years 7 months ago
2008
Exact approaches to combinational equivalence checking, such as automatic test pattern generation-based, binary decision diagrams (BDD)-based, satisfiability-based, and hybrid appr...
NN
2006
Springer
13 years 7 months ago
2006
Springer
Learning vector quantization (LVQ) constitutes a powerful and intuitive method for adaptive nearest prototype classification. However, original LVQ has been introduced based on he...
CORR
2006
Springer
13 years 7 months ago
2006
Springer
We consider the problem of decision-making with side information and unbounded loss functions. Inspired by probably approximately correct learning model, we use a slightly differe...