84 search results - page 2 / 17 » Optimal Hebbian Learning: A Probabilistic Point of View |
ICML
2010
IEEE
13 years 3 months ago
2010
IEEE
In the realm of multilabel classification (MLC), it has become an opinio communis that optimal predictive performance can only be achieved by learners that explicitly take label d...
AAAI
1998
13 years 6 months ago
1998
Probabilistic models have recently been utilized for the optimization of large combinatorial search problems. However, complex probabilistic models that attempt to capture interpa...
AAAI
2012
11 years 7 months ago
2012
For interaction with its environment, a robot is required to learn models of objects and to perceive these models in the livestreams from its sensors. In this paper, we propose a ...
ICANN
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. We develop a probabilistic interpretation of non-linear component extraction in neural networks that activate their hidden units according to a softmaxlike mechanism. On ...
ICANN
2010
Springer
13 years 6 months ago
2010
Springer
Learning processes allow the central nervous system to learn relationships between stimuli. Even stimuli from different modalities can easily be associated, and these associations ...