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PKDD
2010
Springer
179views Data Mining» more  PKDD 2010»
13 years 6 months ago
Gaussian Processes for Sample Efficient Reinforcement Learning with RMAX-Like Exploration
Abstract. We present an implementation of model-based online reinforcement learning (RL) for continuous domains with deterministic transitions that is specifically designed to achi...
Tobias Jung, Peter Stone
ICCV
2007
IEEE
14 years 10 months ago
Graph Based Discriminative Learning for Robust and Efficient Object Tracking
Object tracking is viewed as a two-class 'one-versusrest' classification problem, in which the sample distribution of the target is approximately Gaussian while the back...
Xiaoqin Zhang, Weiming Hu, Stephen J. Maybank, Xi ...
CORR
2008
Springer
141views Education» more  CORR 2008»
13 years 9 months ago
Truthful Unsplittable Flow for Large Capacity Networks
The unsplittable flow problem is one of the most extensively studied optimization problems in the field of networking. An instance of it consists of an edge capacitated graph and ...
Yossi Azar, Iftah Gamzu, Shai Gutner
JEC
2006
73views more  JEC 2006»
13 years 8 months ago
Frame packing algorithms for automotive applications
The set of frames exchanged in automotive applications must meet two constraints: it has to be feasible from a schedulability point of view and it should minimize the network bandw...
Rishi Saket, Nicolas Navet
VLDB
2006
ACM
162views Database» more  VLDB 2006»
14 years 9 months ago
Dependency trees in sub-linear time and bounded memory
We focus on the problem of efficient learning of dependency trees. Once grown, they can be used as a special case of a Bayesian network, for PDF approximation, and for many other u...
Dan Pelleg, Andrew W. Moore