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DATAMINE
2010
161views more  DATAMINE 2010»
13 years 7 months ago
Predicting labels for dyadic data
: In dyadic prediction, the input consists of a pair of items (a dyad), and the goal is to predict the value of an observation related to the dyad. Special cases of dyadic predicti...
Aditya Krishna Menon, Charles Elkan
AGI
2008
13 years 11 months ago
How Might Probabilistic Reasoning Emerge from the Brain?
: A series of hypotheses is proposed, connecting neural structures and dynamics with the formal structures and processes of probabilistic logic. First, a hypothetical connection is...
Ben Goertzel, Cassio Pennachin
TSMC
2002
129views more  TSMC 2002»
13 years 9 months ago
A distributed robotic control system based on a temporal self-organizing neural network
A distributed robot control system is proposed based on a temporal self-organizing neural network, called competitive and temporal Hebbian (CTH) network. The CTH network can learn ...
Guilherme De A. Barreto, Aluizio F. R. Araú...
NIPS
2004
13 years 11 months ago
Synergies between Intrinsic and Synaptic Plasticity in Individual Model Neurons
This paper explores the computational consequences of simultaneous intrinsic and synaptic plasticity in individual model neurons. It proposes a new intrinsic plasticity mechanism ...
Jochen Triesch
CONNECTION
2004
92views more  CONNECTION 2004»
13 years 9 months ago
High capacity associative memories and connection constraints
: High capacity associative neural networks can be built from networks of perceptrons, trained using simple perceptron training. Such networks perform much better than those traine...
Neil Davey, Rod Adams