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91
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SDM
2008
SIAM
138views Data Mining» more  SDM 2008»
14 years 11 months ago
Learning Markov Network Structure using Few Independence Tests
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
Parichey Gandhi, Facundo Bromberg, Dimitris Margar...
AIPS
2009
14 years 11 months ago
Efficient Solutions to Factored MDPs with Imprecise Transition Probabilities
When modeling real-world decision-theoretic planning problems in the Markov decision process (MDP) framework, it is often impossible to obtain a completely accurate estimate of tr...
Karina Valdivia Delgado, Scott Sanner, Leliane Nun...
115
Voted
CORR
2010
Springer
219views Education» more  CORR 2010»
14 years 8 months ago
Cooperative Algorithms for MIMO Interference Channels
Interference alignment is a transmission technique for exploiting all available degrees of freedom in the symmetric frequency- or time-selective interference channel with an arbit...
Steven W. Peters, Robert W. Heath Jr.
111
Voted
ISPAN
2005
IEEE
15 years 3 months ago
A Self-stabilizing Link-Cluster Algorithm in Mobile Ad Hoc Networks
We design a self-stabilizing cluster routing algorithm based on the link-cluster architecture of wireless ad hoc networks. The network is divided into clusters. Each cluster has a...
Doina Bein, Ajoy Kumar Datta, Chakradhar R. Jaggan...
ISIPTA
2003
IEEE
120views Mathematics» more  ISIPTA 2003»
15 years 3 months ago
Towards a Chaotic Probability Model for Frequentist Probability: The Univariate Case
We adopt the same mathematical model of a set M of probability measures as is central to the theory of coherent imprecise probability. However, we endow this model with an objecti...
Pablo Ignacio Fierens, Terrence L. Fine