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BMCBI
2010
176views more  BMCBI 2010»
15 years 5 months ago
Bayesian statistical modelling of human protein interaction network incorporating protein disorder information
Background: We present a statistical method of analysis of biological networks based on the exponential random graph model, namely p2-model, as opposed to previous descriptive app...
Svetlana Bulashevska, Alla Bulashevska, Roland Eil...
CORR
2004
Springer
133views Education» more  CORR 2004»
15 years 4 months ago
Information theory, multivariate dependence, and genetic network inference
We define the concept of dependence among multiple variables using maximum entropy techniques and introduce a graphical notation to denote the dependencies. Direct inference of in...
Ilya Nemenman
IJCAI
2007
15 years 6 months ago
A Flexible Unsupervised PP-Attachment Method Using Semantic Information
In this paper we revisit the classical NLP problem of prepositional phrase attachment (PPattachment). Given the pattern V −NP1−P −NP2 in the text, where V is verb, NP1 is a ...
Srinivas Medimi, Pushpak Bhattacharyya
CVPR
2007
IEEE
16 years 7 months ago
On-line Simultaneous Learning and Tracking of Visual Feature Graphs
Model learning and tracking are two important topics in computer vision. While there are many applications where one of them is used to support the other, there are currently only...
Arnaud Declercq, Justus H. Piater
AI
2009
Springer
15 years 11 months ago
Exploratory Analysis of Co-Change Graphs for Code Refactoring
Abstract. Version Control Systems (VCS) have always played an essential role for developing reliable software. Recently, many new ways of utilizing the information hidden in VCS ha...
Hassan Khosravi, Recep Colak