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UAI
2004
15 years 8 months ago
PAC-learning Bounded Tree-width Graphical Models
We show that the class of strongly connected graphical models with treewidth at most k can be properly efficiently PAC-learnt with respect to the Kullback-Leibler Divergence. Prev...
Mukund Narasimhan, Jeff A. Bilmes
SODA
1998
ACM
99views Algorithms» more  SODA 1998»
15 years 8 months ago
Online Throughput-Competitive Algorithm for Multicast Routing and Admission Control
We present the first polylog-competitive online algorithm for the general multicast admission control and routing problem in the throughput model. The ratio of the number of reque...
Ashish Goel, Monika Rauch Henzinger, Serge A. Plot...
AAAI
1994
15 years 8 months ago
Improving Repair-Based Constraint Satisfaction Methods by Value Propagation
A constraint satisfaction problem (CSP) is a problem to find an assignment that satisfies given constraints. An interesting approach to CSP is a repair-based method that first gen...
Nobuhiro Yugami, Yuiko Ohta, Hirotaka Hara
AHSWN
2008
92views more  AHSWN 2008»
15 years 7 months ago
The (k, l) Coredian Tree for Ad Hoc Networks
In this paper, we present a new efficient strategy for constructing a wireless tree network containing n nodes of diameter while satisfying the QoS requirements such as bandwidth...
Amit Dvir, Michael Segal
CORR
2010
Springer
154views Education» more  CORR 2010»
15 years 7 months ago
Causal Markov condition for submodular information measures
The causal Markov condition (CMC) is a postulate that links observations to causality. It describes the conditional independences among the observations that are entailed by a cau...
Bastian Steudel, Dominik Janzing, Bernhard Sch&oum...