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» On Weak Markov's Principle
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FOCS
2009
IEEE
14 years 2 months ago
Agnostic Learning of Monomials by Halfspaces Is Hard
— We prove the following strong hardness result for learning: Given a distribution on labeled examples from the hypercube such that there exists a monomial (or conjunction) consi...
Vitaly Feldman, Venkatesan Guruswami, Prasad Ragha...
CRV
2005
IEEE
208views Robotics» more  CRV 2005»
14 years 1 months ago
Topology Inference for a Vision-Based Sensor Network
In this paper we describe a technique to infer the topology and connectivity information of a network of cameras based on observed motion in the environment. While the technique c...
Dimitri Marinakis, Gregory Dudek
AAAI
2004
13 years 9 months ago
Dynamic Programming for Partially Observable Stochastic Games
We develop an exact dynamic programming algorithm for partially observable stochastic games (POSGs). The algorithm is a synthesis of dynamic programming for partially observable M...
Eric A. Hansen, Daniel S. Bernstein, Shlomo Zilber...
UAI
1997
13 years 9 months ago
Correlated Action Effects in Decision Theoretic Regression
Much recent research in decision theoretic planning has adopted Markov decision processes (MDPs) as the model of choice, and has attempted to make their solution more tractable by...
Craig Boutilier
CN
2000
70views more  CN 2000»
13 years 7 months ago
An efficient algorithm to rank Web resources
How to rank Web resources is critical to Web Resource Discovery (Search Engine). This paper not only points out the weakness of current approaches, but also presents in-depth anal...
Dell Zhang, Yisheng Dong