20833 search results - page 259 / 4167 » Hidden process models |
138
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NN
1997
Springer
15 years 8 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...
156
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NN
2000
Springer
15 years 4 months ago
2000
Springer
Local minima and plateaus pose a serious problem in learning of neural networks. We investigate the hierarchical geometric structure of the parameter space of three-layer perceptr...
148
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FMAM
2010
15 years 2 months ago
2010
: In this paper, we present the experience gained with the participation in a case study in which a novel high-level design language (UML4SOA) was used to produce a service-oriente...
144
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ICPR
2004
IEEE
16 years 5 months ago
2004
IEEE
The maximum entropy principle is a cornerstone of FRAME (Filters, RAndom fields, and Maximum Entropy) model considered at times as a first-ever step towards a universal theory of ...
137
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ICRA
2006
IEEE
15 years 10 months ago
2006
IEEE
— Communication skill is essential for social robots in various environments such as homes, offices, and hospitals, where the robots are expected to interact with humans. In thi...