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111
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GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
15 years 8 months ago
A developmental model of neural computation using cartesian genetic programming
The brain has long been seen as a powerful analogy from which novel computational techniques could be devised. However, most artificial neural network approaches have ignored the...
Gul Muhammad Khan, Julian F. Miller, David M. Hall...
85
Voted
IJCNN
2006
IEEE
15 years 8 months ago
Statistical Mechanics of Online Learning for Ensemble Teachers
— We analyze the generalization performance of a student in a model composed of linear perceptrons: a true teacher, ensemble teachers, and the student. Calculating the generaliza...
Seiji Miyoshi, Masato Okada
127
Voted
BVAI
2005
Springer
15 years 8 months ago
Learning Location Invariance for Object Recognition and Localization
A visual system not only needs to recognize a stimulus, it also needs to find the location of the stimulus. In this paper, we present a neural network model that is able to genera...
Gwendid T. van der Voort van der Kleij, Frank van ...
IJCNN
2006
IEEE
15 years 8 months ago
Relative Gradient Learning for Independent Subspace Analysis
Abstract— Independent subspace analysis (ISA) is a generalization of independent component analysis (ICA), where multidimensional ICA is incorporated with the idea of invariant f...
Heeyoul Choi, Seungjin Choi
107
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CANDC
2009
ACM
15 years 9 months ago
A sub-symbolic model of the cognitive processes of re-representation and insight
We present a sub-symbolic computational model for effecting knowledge re-representation and insight. Given a set of data, manifold learning is used to automatically organize the d...
Dan Ventura