922 search results - page 140 / 185 » Learning Gaussian Process Models from Uncertain Data |
141
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ICIP
2010
IEEE
15 years 11 days ago
2010
IEEE
Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...
122
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ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
Elimination by aspects (EBA) is a probabilistic choice model describing how humans decide between several options. The options from which the choice is made are characterized by b...
127
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JITECH
2010
15 years 25 days ago
2010
This paper employs the network perspective to study patterns and structures of intraorganizational learning networks. The theoretical background draws from cognitive theories, the...
124
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CMSB
2007
Springer
15 years 8 months ago
2007
Springer
We explore some presynaptic mechanisms of the calyx of Held synapse through a stochastic model. The model, drawn from a kinetic approach developed in literature, exploits process c...
139
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DAGM
2010
Springer
15 years 29 days ago
2010
Springer
Abstract. Atrial fibrillation is the most common sustained arrhythmia. One important treatment option is radio-frequency catheter ablation (RFCA) of the pulmonary veins attached t...