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UAI
2001
15 years 8 months ago
Exact Inference in Networks with Discrete Children of Continuous Parents
Many real life domains contain a mixture of discrete and continuous variables and can be modeled as hybrid Bayesian Networks (BNs). An important subclass of hybrid BNs are conditi...
Uri Lerner, Eran Segal, Daphne Koller
UAI
2001
15 years 8 months ago
Expectation Propagation for approximate Bayesian inference
This paper presents a new deterministic approximation technique in Bayesian networks. This method, "Expectation Propagation," unifies two previous techniques: assumed-de...
Thomas P. Minka
181
Voted
USENIX
2001
15 years 8 months ago
User-Level Checkpointing for LinuxThreads Programs
Multiple threads running in a single, shared address space is a simple model for writing parallel programs for symmetric multiprocessor (SMP) machines and for overlapping I/O and ...
William R. Dieter, James E. Lumpp Jr.
SODA
2004
ACM
110views Algorithms» more  SODA 2004»
15 years 8 months ago
Probabilistic analysis of knapsack core algorithms
We study the average-case performance of algorithms for the binary knapsack problem. Our focus lies on the analysis of so-called core algorithms, the predominant algorithmic conce...
René Beier, Berthold Vöcking
UAI
2004
15 years 8 months ago
On the Choice of Regions for Generalized Belief Propagation
Generalized belief propagation (GBP) has proven to be a promising technique for approximate inference tasks in AI and machine learning. However, the choice of a good set of cluste...
Max Welling
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