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CEAS
2007
Springer
14 years 1 months ago
Online Active Learning Methods for Fast Label-Efficient Spam Filtering
Active learning methods seek to reduce the number of labeled examples needed to train an effective classifier, and have natural appeal in spam filtering applications where trustwo...
D. Sculley
AR
2008
118views more  AR 2008»
13 years 9 months ago
Efficient Behavior Learning Based on State Value Estimation of Self and Others
The existing reinforcement learning methods have been seriously suffering from the curse of dimension problem especially when they are applied to multiagent dynamic environments. ...
Yasutake Takahashi, Kentarou Noma, Minoru Asada
CVPR
2008
IEEE
14 years 11 months ago
Dynamic visual category learning
Dynamic visual category learning calls for efficient adaptation as new training images become available or new categories are defined, existing training images or categories becom...
Tom Yeh, Trevor Darrell
ICALP
2009
Springer
14 years 9 months ago
On a Network Generalization of the Minmax Theorem
We consider graphical games in which edges are zero-sum games between the endpoints/players; the payoff of a player is the sum of the payoffs from each incident edge. We give a si...
Constantinos Daskalakis, Christos H. Papadimitriou
COR
2008
128views more  COR 2008»
13 years 9 months ago
Solving dynamic stochastic economic models by mathematical programming decomposition methods
Discrete-time optimal control problems arise naturally in many economic problems. Despite the rapid growth in computing power and new developments in the literature, many economic...
Mercedes Esteban-Bravo, Francisco J. Nogales