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» Stochastic Finite Learning
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HIS
2003
13 years 9 months ago
Evolving Better Stoplists for Document Clustering and Web Intelligence
: Text classification, document clustering and similar document analysis tasks are currently the subject of significant global research, since such areas underpin web intelligence,...
Mark P. Sinka, David Corne
NIPS
2001
13 years 9 months ago
The Emergence of Multiple Movement Units in the Presence of Noise and Feedback Delay
Tangential hand velocity profiles of rapid human arm movements often appear as sequences of several bell-shaped acceleration-deceleration phases called submovements or movement un...
Michael Kositsky, Andrew G. Barto
NIPS
2001
13 years 9 months ago
Predictive Representations of State
We show that states of a dynamical system can be usefully represented by multi-step, action-conditional predictions of future observations. State representations that are grounded...
Michael L. Littman, Richard S. Sutton, Satinder P....
WSC
1998
13 years 8 months ago
Integrating Neural Networks with Special Purpose Simulation
Traditional methods of dealing with variability in simulation input data are mainly stochastic. This is most often the best method to use if the factors affecting the variation or...
Dany Hajjar, Simaan M. AbouRizk, Kevin Mather
ACL
1996
13 years 8 months ago
Minimizing Manual Annotation Cost in Supervised Training from Corpora
Corpus-based methods for natural language processing often use supervised training, requiring expensive manual annotation of training corpora. This paper investigates methods for ...
Sean P. Engelson, Ido Dagan