IWINAC
2007
Springer
13 years 10 months ago
2007
Springer
IWINAC
2007
Springer
13 years 10 months ago
2007
Springer
A significant advance in inductive modelling are systems that retain learned knowledge and selectively transfer portions of that knowledge as a source of inductive bias. We defi...
IWINAC
2007
Springer
13 years 10 months ago
2007
Springer
Abstract. We consider the numerical evolutionary optimization of dynamic molecular alignment by shaped femtosecond laser pulses. We study a simplified model of this quantum contro...
IWINAC
2007
Springer
13 years 10 months ago
2007
Springer
We investigate how it is possible to shape robot behaviour adopting a molecular or molar point of view. These two ways to approach the issue are inspired by Learning Psychology, wh...
IWINAC
2007
Springer
13 years 10 months ago
2007
Springer
The computer model of visual attention derives an interest or saliency map from an input image in a process that encompasses several data combination steps. While several combinati...
IWINAC
2007
Springer
13 years 10 months ago
2007
Springer
Emergent interactions that are expressed by the movements of two agents are discussed in this paper. The common coding principle is used to show how the mirror neuron system may fa...
IWINAC
2007
Springer
13 years 10 months ago
2007
Springer
We consider a notion of morphism of neural networks and develop its properties. We show how, given any definite logic program P, the least fixed point of the immediate consequenc...
IWINAC
2007
Springer
13 years 10 months ago
2007
Springer
Theories of how the brain computes can be differentiated in three general conceptions: the algorithmic approach, the neural information processing (neurocomputational) approach an...
IWINAC
2007
Springer
13 years 10 months ago
2007
Springer
One of the main characteristics of a video surveillance system is its reliability. To this end, it is needed that the images captured by the videocameras are an accurate representa...
IWINAC
2007
Springer
13 years 10 months ago
2007
Springer
One of the key points in Estimation of Distribution Algorithms (EDAs) is the learning of the probabilistic graphical model used to guide the search: the richer the model the more ...