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CORR
2004
Springer
133views Education» more  CORR 2004»
11 years 5 months ago
Information theory, multivariate dependence, and genetic network inference
We define the concept of dependence among multiple variables using maximum entropy techniques and introduce a graphical notation to denote the dependencies. Direct inference of in...
Ilya Nemenman
WSC
1998
11 years 6 months ago
Identifying Important Factors in Deterministic Investment Problems Using Design of Experiments
For large investment projects sensitivity analysis is an important tool to determine which factors need further analysis and/or can jeopardize the future of a project. In practice...
Willem J. H. Van Groenendaal, Jack P. C. Kleijnen
EUROGP
2008
Springer
105views Optimization» more  EUROGP 2008»
11 years 7 months ago
A Linear Estimation-of-Distribution GP System
We present N-gram GP, an estimation of distribution algorithm for the evolution of linear computer programs. The algorithm learns and samples the joint probability distribution of...
Riccardo Poli, Nicholas Freitag McPhee
GECCO
2003
Springer
11 years 10 months ago
Reinforcement Learning Estimation of Distribution Algorithm
Abstract. This paper proposes an algorithm for combinatorial optimizations that uses reinforcement learning and estimation of joint probability distribution of promising solutions ...
Topon Kumar Paul, Hitoshi Iba
SIGIR
2004
ACM
11 years 11 months ago
The document as an ergodic markov chain
In recent years, statistical language models are being proposed as alternative to the vector space model. Viewing documents as language samples introduces the issue of defining a...
Eduard Hoenkamp, Dawei Song
ICCV
2005
IEEE
11 years 11 months ago
Consistent Segmentation for Optical Flow Estimation
In this paper, we propose a method for jointly computing optical flow and segmenting video while accounting for mixed pixels (matting). Our method is based on statistical modelin...
C. Lawrence Zitnick, Nebojsa Jojic, Sing Bing Kang
IAT
2005
IEEE
11 years 11 months ago
Modelling Multiagent Bayesian Networks with Inclusion Dependencies
Multiagent Bayesian networks (MABNs) are a powerful new framework for uncertainty management in a distributed environment. In a MABN, a collective joint probability distribution i...
Cory J. Butz
VLSID
2006
IEEE
129views VLSI» more  VLSID 2006»
12 years 5 months ago
A Stimulus-Free Probabilistic Model for Single-Event-Upset Sensitivity
With device size shrinking and fast rising frequency ranges, effect of cosmic radiations and alpha particles known as Single-Event-Upset (SEU), Single-Eventtransients (SET), is a ...
Mohammad Gh. Mohammad, Laila Terkawi, Muna Albasma...
CVPR
2001
IEEE
12 years 7 months ago
Clustering Art
We extend a recently developed method [1] for learning the semantics of image databases using text and pictures. We incorporate statistical natural language processing in order to...
Kobus Barnard, Pinar Duygulu, David A. Forsyth
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