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» Bounds on marginal probability distributions
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ICML
2005
IEEE
14 years 8 months ago
Naive Bayes models for probability estimation
Naive Bayes models have been widely used for clustering and classification. However, they are seldom used for general probabilistic learning and inference (i.e., for estimating an...
Daniel Lowd, Pedro Domingos
NIPS
1998
13 years 9 months ago
Inference in Multilayer Networks via Large Deviation Bounds
We study probabilistic inference in large, layered Bayesian networks represented as directed acyclic graphs. We show that the intractability of exact inference in such networks do...
Michael J. Kearns, Lawrence K. Saul
PAMI
2010
132views more  PAMI 2010»
13 years 6 months ago
Maximum Likelihood Model Selection for 1-Norm Soft Margin SVMs with Multiple Parameters
—Adapting the hyperparameters of support vector machines (SVMs) is a challenging model selection problem, especially when flexible kernels are to be adapted and data are scarce....
Tobias Glasmachers, Christian Igel
CORR
2008
Springer
108views Education» more  CORR 2008»
13 years 8 months ago
Tight Bounds for Blind Search on the Integers
We analyze a simple random process in which a token is moved in the interval A = {0, . . . , n}: Fix a probability distribution
Martin Dietzfelbinger, Jonathan E. Rowe, Ingo Wege...
SPIN
2010
Springer
13 years 6 months ago
Time-Bounded Reachability in Distributed Input/Output Interactive Probabilistic Chains
Abstract. We develop an algorithm to compute timed reachability probabilities for distributed models which are both probabilistic and nondeterministic. To obtain realistic results ...
Georgel Calin, Pepijn Crouzen, Pedro R. D'Argenio,...