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» Self Bounding Learning Algorithms
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CVPR
2012
IEEE
11 years 10 months ago
Submodular dictionary learning for sparse coding
A greedy-based approach to learn a compact and discriminative dictionary for sparse representation is presented. We propose an objective function consisting of two components: ent...
Zhuolin Jiang, Guangxiao Zhang, Larry S. Davis
ICCCN
2008
IEEE
14 years 2 months ago
Control Message Reduction Techniques in Backward Learning Ad Hoc Routing Protocols
—Most existing wireless ad hoc routing protocols rely upon the use of backward learning technique with explicit control messages to route packets. In this paper we propose a set ...
Navodaya Garepalli, Kartik Gopalan, Ping Yang
COLT
2003
Springer
14 years 26 days ago
On Learning to Coordinate: Random Bits Help, Insightful Normal Forms, and Competency Isomorphisms
A mere bounded number of random bits judiciously employed by a probabilistically correct algorithmic coordinator is shown to increase the power of learning to coordinate compared ...
John Case, Sanjay Jain, Franco Montagna, Giulia Si...
ICMLA
2007
13 years 9 months ago
Learning bayesian networks consistent with the optimal branching
We introduce a polynomial-time algorithm to learn Bayesian networks whose structure is restricted to nodes with in-degree at most k and to edges consistent with the optimal branch...
Alexandra M. Carvalho, Arlindo L. Oliveira
NIPS
2001
13 years 9 months ago
Variance Reduction Techniques for Gradient Estimates in Reinforcement Learning
Policy gradient methods for reinforcement learning avoid some of the undesirable properties of the value function approaches, such as policy degradation (Baxter and Bartlett, 2001...
Evan Greensmith, Peter L. Bartlett, Jonathan Baxte...