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» Complexity of Inference in Graphical Models
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FASE
2006
Springer
13 years 11 months ago
Regular Inference for State Machines with Parameters
Techniques for inferring a regular language, in the form of a finite automaton, from a sufficiently large sample of accepted and nonaccepted input words, have been employed to cons...
Therese Berg, Bengt Jonsson, Harald Raffelt
AAAI
1998
13 years 9 months ago
Structured Representation of Complex Stochastic Systems
This paperconsidersthe problem of representingcomplex systems that evolve stochastically over time. Dynamic Bayesian networks provide a compact representation for stochastic proce...
Nir Friedman, Daphne Koller, Avi Pfeffer
BIRD
2008
Springer
141views Bioinformatics» more  BIRD 2008»
13 years 9 months ago
Nested q-Partial Graphs for Genetic Network Inference from "Small n, Large p" Microarray Data
Abstract. Gaussian graphical models are widely used to tackle the important and challenging problem of inferring genetic regulatory networks from expression data. These models have...
Kevin Kontos, Gianluca Bontempi
PE
2008
Springer
167views Optimization» more  PE 2008»
13 years 7 months ago
Analysis of ratings on trust inference in open environments
Ratings (also known as recommendations) provide an efficient and effective way to build trust relationship in the human society, by making use of the information from others rathe...
Zhengqiang Liang, Weisong Shi
SIGECOM
2006
ACM
119views ECommerce» more  SIGECOM 2006»
14 years 1 months ago
Nash equilibria in graphical games on trees revisited
Graphical games have been proposed as a game-theoretic model of large-scale distributed networks of non-cooperative agents. When the number of players is large, and the underlying...
Edith Elkind, Leslie Ann Goldberg, Paul W. Goldber...