1377 search results - page 48 / 276 » Neural Computing |
146
Voted
NIPS
2004
15 years 3 months ago
2004
As animals interact with their environments, they must constantly update estimates about their states. Bayesian models combine prior probabilities, a dynamical model and sensory e...
110
Voted
IJCAI
1997
15 years 3 months ago
1997
This paper presents an algorithm for extract ing propositions from trained neural networks. The algorithm is a decompositional approach which can be applied to any neural networ...
127
Voted
NIPS
1994
15 years 3 months ago
1994
For many types of machine learning algorithms, one can compute the statistically optimal" way to select training data. In this paper, we review how optimal data selection tec...
98
Voted
GCC
2004
Springer
15 years 7 months ago
2004
Springer
This paper introduces a novel approach for dynamic service establishment in a virtual organization. To allow dynamism semantic information has to be processed. A common language is...
89
Voted
NIPS
2007
15 years 3 months ago
2007
Many perceptual processes and neural computations, such as speech recognition, motor control and learning, depend on the ability to measure and mark the passage of time. However, ...