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» Causal inference using the algorithmic Markov condition
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CVPR
2008
IEEE
15 years 11 months ago
Statistical analysis on Stiefel and Grassmann manifolds with applications in computer vision
Many applications in computer vision and pattern recognition involve drawing inferences on certain manifoldvalued parameters. In order to develop accurate inference algorithms on ...
Pavan K. Turaga, Ashok Veeraraghavan, Rama Chellap...
CVPR
2011
IEEE
14 years 6 months ago
Truncated Message Passing
Training of conditional random fields often takes the form of a double-loop procedure with message-passing inference in the inner loop. This can be very expensive, as the need to...
Justin Domke
RECOMB
2009
Springer
15 years 10 months ago
A Robust Bayesian Two-Sample Test for Detecting Intervals of Differential Gene Expression in Microarray Time Series
Abstract. Understanding the regulatory mechanisms that are responsible for an organism's response to environmental changes is an important question in molecular biology. A fir...
Oliver Stegle, Katherine J. Denby, David L. Wild, ...
ECAI
2006
Springer
15 years 1 months ago
Knowledge Engineering for Bayesian Networks: How Common Are Noisy-MAX Distributions in Practice?
One problem faced in knowledge engineering for Bayesian networks is the exponential growth of the number of parameters in their conditional probability tables (CPTs). The most comm...
Adam Zagorecki, Marek J. Druzdzel
DSRT
2008
IEEE
14 years 11 months ago
Lightweight Time Warp - A Novel Protocol for Parallel Optimistic Simulation of Large-Scale DEVS and Cell-DEVS Models
This paper proposes a novel Lightweight Time Warp (LTW) protocol for high-performance parallel optimistic simulation of large-scale DEVS and CellDEVS models. By exploiting the cha...
Qi Liu, Gabriel A. Wainer