883 search results - page 63 / 177 » Unsupervised learning in neural computation |
NN
2008
Springer
13 years 8 months ago
2008
Springer
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
COGSCI
2004
13 years 8 months ago
2004
This paper advocates the main ideas of the interactive model of representation of Mark Bickhard and the assimilation/accommodation framework of Jean Piaget, through a rhythm recog...
IJCNN
2007
IEEE
14 years 3 months ago
2007
IEEE
– Constructive algorithms are effective methods for designing Artificial Neural Networks (ANN) with good accuracy and generalization capability, yet with parsimonious network str...
PPSN
2010
Springer
13 years 7 months ago
2010
Springer
Abstract. The game of Go has attracted much attention from the artificial intelligence community. A key feature of Go is that humans begin to learn on a small board, and then incr...
NIPS
2008
13 years 10 months ago
2008
Randomized neural networks are immortalized in this well-known AI Koan: In the days when Sussman was a novice, Minsky once came to him as he sat hacking at the PDP-6. "What a...