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» Two Algorithms for Inducing Causal Models from Data
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WEBI
2010
Springer
15 years 4 months ago
Relations Expansion: Extracting Relationship Instances from the Web
In this paper, we propose a Relation Expansion framework, which uses a few seed sentences marked up with two entities to expand a set of sentences containing target relations. Duri...
Haibo Li, Yutaka Matsuo, Mitsuru Ishizuka
BMCBI
2010
150views more  BMCBI 2010»
15 years 6 months ago
Systematic calibration of a cell signaling network model
Background: Mathematical modeling is being applied to increasingly complex biological systems and datasets; however, the process of analyzing and calibrating against experimental ...
Kyoung Ae Kim, Sabrina L. Spencer, John G. Albeck,...
ISI
2006
Springer
15 years 6 months ago
An Embedded Bayesian Network Hidden Markov Model for Digital Forensics
In the paper we combine a Bayesian Network model for encoding forensic evidence during a given time interval with a Hidden Markov Model (EBN-HMM) for tracking and predicting the de...
Olivier Y. de Vel, Nianjun Liu, Terry Caelli, Tib&...
SAC
2009
ACM
16 years 1 months ago
Combining statistics and semantics via ensemble model for document clustering
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan
ICIP
2000
IEEE
16 years 8 months ago
Efficiently Estimating Projective Transformations
Projective transformations relate the coordinates of images that are taken by either a camera that undergoes only rotation while imaging an arbitrary scene, or one that rotates an...
Richard J. Radke, Peter J. Ramadge, Tomio Echigo, ...