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ICTAI
2003
IEEE
13 years 12 months ago
Inference via Fuzzy Belief Petri Nets
The fuzzy belief Petri net we propose in this paper propagates fuzzy beliefs from observations at nodes that represent measured parameters to fuzzy beliefs of the truths of parame...
Carl G. Looney, Lily R. Liang
WABI
2007
Springer
110views Bioinformatics» more  WABI 2007»
14 years 21 days ago
Haplotype Inference Via Hierarchical Genotype Parsing
The within-species genetic variation due to recombinations leads to a mosaic-like structure of DNA. This structure can be modeled, e.g. by parsing sample sequences of current DNA w...
Pasi Rastas, Esko Ukkonen
INFOCOM
2006
IEEE
14 years 18 days ago
Sketch Guided Sampling - Using On-Line Estimates of Flow Size for Adaptive Data Collection
— Monitoring the traffic in high-speed networks is a data intensive problem. Uniform packet sampling is the most popular technique for reducing the amount of data the network mo...
Abhishek Kumar, Jun Xu
JMLR
2006
118views more  JMLR 2006»
13 years 6 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
JMLR
2010
125views more  JMLR 2010»
13 years 1 months ago
Continuous Time Bayesian Network Reasoning and Learning Engine
We present a continuous time Bayesian network reasoning and learning engine (CTBN-RLE). A continuous time Bayesian network (CTBN) provides a compact (factored) description of a co...
Christian R. Shelton, Yu Fan, William Lam, Joon Le...