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» Structural Inferences from Massive Datasets
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CSE
2009
IEEE
13 years 12 months ago
Inferring the Maximum Likelihood Hierarchy in Social Networks
—Individuals in social networks are often organized under some hierarchy such as a command structure. In many cases, when this structure is unknown, there is a need to discover h...
Arun S. Maiya, Tanya Y. Berger-Wolf
NAACL
2010
13 years 3 months ago
Joint Inference for Knowledge Extraction from Biomedical Literature
Knowledge extraction from online repositories such as PubMed holds the promise of dramatically speeding up biomedical research and drug design. After initially focusing on recogni...
Hoifung Poon, Lucy Vanderwende
CVPR
2012
IEEE
11 years 7 months ago
Semantic structure from motion with points, regions, and objects
Structure from motion (SFM) aims at jointly recovering the structure of a scene as a collection of 3D points and estimating the camera poses from a number of input images. In this...
Sid Ying-Ze Bao, Mohit Bagra, Yu-Wei Chao, Silvio ...
JMLR
2010
128views more  JMLR 2010»
13 years 5 hour ago
Learning Causal Structure from Overlapping Variable Sets
We present an algorithm name cSAT+ for learning the causal structure in a domain from datasets measuring different variable sets. The algorithm outputs a graph with edges correspo...
Sofia Triantafilou, Ioannis Tsamardinos, Ioannis G...
BMCBI
2010
167views more  BMCBI 2010»
13 years 5 months ago
Inference of sparse combinatorial-control networks from gene-expression data: a message passing approach
Background: Transcriptional gene regulation is one of the most important mechanisms in controlling many essential cellular processes, including cell development, cell-cycle contro...
Marc Bailly-Bechet, Alfredo Braunstein, Andrea Pag...