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FUIN
2008
108views more  FUIN 2008»
13 years 9 months ago
Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques
Causal relations are present in many application domains. Causal Probabilistic Logic (CP-logic) is a probabilistic modeling language that is especially designed to express such rel...
Wannes Meert, Jan Struyf, Hendrik Blockeel
DAC
1996
ACM
14 years 2 months ago
Hot-Carrier Reliability Enhancement via Input Reordering and Transistor Sizing
Hot-carrier eects and electromigration are the two important failure mechanisms that signi cantly impact the long-term reliability of high-density VLSI ICs. In this paper, we prese...
Aurobindo Dasgupta, Ramesh Karri
UAI
1989
13 years 12 months ago
Can Uncertainty Management be Realized in a Finite Totally Ordered Probability Algebra?
In this paper, the feasibility of using finite totally ordered probability models under Aleliunas’s Theory of Probabilistic Logic [Aleliunas, 1988] is investigated. The general...
Yang Xiang, Michael P. Beddoes, David Poole
ECCV
2008
Springer
15 years 19 days ago
Efficiently Learning Random Fields for Stereo Vision with Sparse Message Passing
As richer models for stereo vision are constructed, there is a growing interest in learning model parameters. To estimate parameters in Markov Random Field (MRF) based stereo formu...
Jerod J. Weinman, Lam Tran, Christopher J. Pal
RECOMB
2010
Springer
14 years 5 months ago
Incremental Signaling Pathway Modeling by Data Integration
Constructing quantitative dynamic models of signaling pathways is an important task for computational systems biology. Pathway model construction is often an inherently incremental...
Geoffrey Koh, David Hsu, P. S. Thiagarajan