3563 search results - page 528 / 713 » Information theory in neuroscience |
164
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ACIVS
2009
Springer
16 years 1 months ago
2009
Springer
Abstract. Feature subset selection is an important subject when training classifiers in Machine Learning (ML) problems. Too many input features in a ML problem may lead to the so-...
145
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ATAL
2009
Springer
16 years 1 months ago
2009
Springer
Commitments provide a basis for understanding interactions in multiagent systems. Successful interoperation relies upon the interacting parties being aligned with respect to their...
163
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ATAL
2009
Springer
16 years 1 months ago
2009
Springer
This paper presents a model of neural network embodiment of intentions and planning mechanisms for autonomous agents. The model bridges the dichotomy of symbolic and non-symbolic ...
154
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COCO
2009
Springer
16 years 1 months ago
2009
Springer
The coding theorem is a fundamental result of algorithmic information theory. A well known theorem of G´acs shows that the analog of the coding theorem fails for continuous sample...
168
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ESA
2009
Springer
16 years 1 months ago
2009
Springer
We consider the problem of representing, in a space-efficient way, a function f : S → Σ such that any function value can be computed in constant time on a RAM. Specifically, ou...