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» Exploiting Data Missingness in Bayesian Network Modeling
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JMLR
2006
118views more  JMLR 2006»
14 years 11 months ago
Learning Factor Graphs in Polynomial Time and Sample Complexity
We study the computational and sample complexity of parameter and structure learning in graphical models. Our main result shows that the class of factor graphs with bounded degree...
Pieter Abbeel, Daphne Koller, Andrew Y. Ng
MOBIHOC
2010
ACM
14 years 9 months ago
Data preservation under spatial failures in sensor networks
In this paper, we address the problem of preserving generated data in a sensor network in case of node failures. We focus on the type of node failures that have explicit spatial s...
Navid Hamed Azimi, Himanshu Gupta, Xiaoxiao Hou, J...
ICDE
2005
IEEE
110views Database» more  ICDE 2005»
15 years 4 months ago
Locality Aware Networked Join Evaluation
We pose the question: how do we efficiently evaluate a join operator, distributed over a heterogeneous network? Our objective here is to optimize the delay of output tuples. We di...
Yanif Ahmad, Ugur Çetintemel, John Jannotti...
UAI
2004
15 years 13 days ago
Solving Factored MDPs with Continuous and Discrete Variables
Although many real-world stochastic planning problems are more naturally formulated by hybrid models with both discrete and continuous variables, current state-of-the-art methods ...
Carlos Guestrin, Milos Hauskrecht, Branislav Kveto...
3DPVT
2006
IEEE
167views Visualization» more  3DPVT 2006»
15 years 5 months ago
Hierarchical Representation of Virtual Cities for Progressive Transmission over Networks
Interactive network-based navigation over large urban environments raises difficult problems due to the size and complexity of these scenes. In this paper, we present a clientser...
Jérôme Royan, R. Balter, Christian Bo...