4947 search results - page 594 / 990 » Learning Module Networks |
157
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HICSS
2002
IEEE
15 years 11 months ago
2002
IEEE
Individual differences make it difficult to recognize similarities between individuals in eye movement patterns. However, if consistencies can be found, eye movements could be use...
143
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ECSQARU
2001
Springer
15 years 11 months ago
2001
Springer
Abstract. The K2 metric is a well-known evaluation measure (or scoring function) for learning Bayesian networks from data [7]. It is derived by assuming uniform prior distributions...
182
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CATA
2000
15 years 8 months ago
2000
Ideally computer pattern recognition systems should be insensitive to scaling, translation, distortion and rotation. Many neural network models have been proposed to address this ...
165
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NIPS
1994
15 years 8 months ago
1994
A new learning algorithmis derived which performs online stochastic gradient ascent in the mutual informationbetween outputs and inputs of a network. In the absence of a priori kn...
192
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ICONIP
2010
15 years 4 months ago
2010
Abstract. We investigated the network topology organized through spike-timingdependent plasticity (STDP) using pair- and triad-connectivity patterns, considering di erence of excit...