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NIPS
1998
13 years 9 months ago
Controlling the Complexity of HMM Systems by Regularization
This paper introduces a method for regularization of HMM systems that avoids parameter overfitting caused by insufficient training data. Regularization is done by augmenting the E...
Christoph Neukirchen, Gerhard Rigoll
NIPS
1998
13 years 9 months ago
A High Performance k-NN Classifier Using a Binary Correlation Matrix Memory
This paper presents a novel and fast k-NN classifier that is based on a binary CMM (Correlation Matrix Memory) neural network. A robust encoding method is developed to meet CMM in...
Ping Zhou, Jim Austin, John Kennedy
NIPS
1996
13 years 9 months ago
Why did TD-Gammon Work?
Although TD-Gammon is one of the major successes in machine learning, it has not led to similar impressive breakthroughs in temporal difference learning for other applications or ...
Jordan B. Pollack, Alan D. Blair
AROBOTS
2006
120views more  AROBOTS 2006»
13 years 7 months ago
A biomimetic robot for tracking specific odors in turbulent plumes
Two basic tasks must be performed by an olfactory robot tracking a specific odor source : navigate in a turbulent odor plume and recognize an odor regardless of its concentration....
Dominique Martinez, Olivier Rochel, Etienne Hugues
AGI
2008
13 years 9 months ago
Language Processing in Human Brain
Human brain is exceptionally complex and simple at the same time. Its extremely composite biological structure results itself in human everyday behavior that many people might cons...
Alexander Borzenko