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AAAI
2006
14 years 11 months ago
Identification of Joint Interventional Distributions in Recursive Semi-Markovian Causal Models
This paper is concerned with estimating the effects of actions from causal assumptions, represented concisely as a directed graph, and statistical knowledge, given as a probabilit...
Ilya Shpitser, Judea Pearl
BMCBI
2010
229views more  BMCBI 2010»
14 years 10 months ago
Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
Martin Paluszewski, Thomas Hamelryck
ACL
2008
14 years 11 months ago
Soft Syntactic Constraints for Hierarchical Phrased-Based Translation
In adding syntax to statistical MT, there is a tradeoff between taking advantage of linguistic analysis, versus allowing the model to exploit linguistically unmotivated mappings l...
Yuval Marton, Philip Resnik
ENVSOFT
2008
120views more  ENVSOFT 2008»
14 years 9 months ago
Extension and evaluation of sensitivity analysis capabilities in a photochemical model
The decoupled direct method in three dimensions (DDM-3D) provides an efficient and accurate approach for probing the sensitivity of atmospheric pollutant concentrations to various...
S. L. Napelenok, D. S. Cohan, M. T. Odman, S. Tons...
GFKL
2007
Springer
148views Data Mining» more  GFKL 2007»
15 years 3 months ago
Mixture Model Based Group Inference in Fused Genotype and Phenotype Data
The analysis of genetic diseases has classically been directed towards establishing direct links between cause, a genetic variation, and effect, the observable deviation of phenot...
Benjamin Georgi, M. Anne Spence, Pamela Flodman, A...