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108
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SBRN
2008
IEEE
15 years 10 months ago
Using a Probabilistic Neural Network for a Large Multi-label Problem
The automation of the categorization of economic activities from business descriptions in free text format is a huge challenge for the Brazilian governmental administration in the...
Elias Oliveira, Patrick Marques Ciarelli, Alberto ...
GECCO
2010
Springer
151views Optimization» more  GECCO 2010»
15 years 8 months ago
Sustaining behavioral diversity in NEAT
Niching schemes, which sustain population diversity and let an evolutionary population avoid premature convergence, have been extensively studied in the research field of evoluti...
Hirotaka Moriguchi, Shinichi Honiden
130
Voted
IJCNN
2007
IEEE
15 years 10 months ago
Parallel Learning of Large Fuzzy Cognitive Maps
— Fuzzy Cognitive Maps (FCMs) are a class of discrete-time Artificial Neural Networks that are used to model dynamic systems. A recently introduced supervised learning method, wh...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
146
Voted
AROBOTS
1998
150views more  AROBOTS 1998»
15 years 3 months ago
Self Calibration of the Fixation Movement of a Stereo Camera Head
In this article we show how an active stereo camera head can be made to autonomously learn to fixate objects in space. During fixation, the system performs an initial and a corre...
Mike Pagel, Eric Maël, Christoph von der Mals...
120
Voted
AI
2002
Springer
15 years 3 months ago
Programming backgammon using self-teaching neural nets
TD-Gammon is a neural network that is able to teach itself to play backgammon solely by playing against itself and learning from the results. Starting from random initial play, TD...
Gerald Tesauro