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ISCAS
2003
IEEE
117views Hardware» more  ISCAS 2003»
16 years 4 days ago
Learning temporal correlations in biologically-inspired aVLSI
Temporally-asymmetric Hebbian learning is a class of algorithms motivated by data from recent neurophysiology experiments. While traditional Hebbian learning rules use mean firin...
Adria Bofill-i-Petit, Alan F. Murray
CE
2007
102views more  CE 2007»
15 years 6 months ago
Environmental design for a structured network learning society
Social interactions profoundly impact the learning processes of learners in traditional societies. The rapid rise of the Internet using population has been the establishment of nu...
Ben Chang, Nien-Heng Cheng, Yi-Chan Deng, Tak-Wai ...
ICALP
1998
Springer
15 years 10 months ago
A Neuroidal Architecture for Cognitive Computation
An architecture is described for designing systems that acquire and manipulate large amounts of unsystematized, or so-called commonsense, knowledge. Its aim is to exploit to the fu...
Leslie G. Valiant
NIPS
2008
15 years 8 months ago
Policy Search for Motor Primitives in Robotics
Many motor skills in humanoid robotics can be learned using parametrized motor primitives as done in imitation learning. However, most interesting motor learning problems are high...
Jens Kober, Jan Peters
IJHIS
2008
84views more  IJHIS 2008»
15 years 6 months ago
Selective generation of training examples in active meta-learning
Meta-Learning has been successfully applied to acquire knowledge used to support the selection of learning algorithms. Each training example in Meta-Learning (i.e. each meta-exampl...
Ricardo Bastos Cavalcante Prudêncio, Teresa ...