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AI
2006
Springer
14 years 11 months ago
Controlled generation of hard and easy Bayesian networks: Impact on maximal clique size in tree clustering
This article presents and analyzes algorithms that systematically generate random Bayesian networks of varying difficulty levels, with respect to inference using tree clustering. ...
Ole J. Mengshoel, David C. Wilkins, Dan Roth
176
Voted
ADBIS
2011
Springer
275views Database» more  ADBIS 2011»
13 years 11 months ago
An Analysis of the Structure and Dynamics of Large-Scale Q/A Communities
Abstract. In recent years, the World Wide Web (WWW) has transformed to a gigantic social network where people interact and collaborate in diverse online communities. By using Web 2...
Daniel Schall, Florian Skopik
NIPS
2008
15 years 1 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink
KDD
2009
ACM
181views Data Mining» more  KDD 2009»
15 years 6 months ago
An exploration of climate data using complex networks
To discover patterns in historical data, climate scientists have applied various clustering methods with the goal of identifying regions that share some common climatological beha...
Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. ...
ISPAN
1999
IEEE
15 years 4 months ago
Location Updates and Probabilistic Tracking Algorithms for Mobile Cellular Networks
In this work, we develop a novel mathematical model to analyze di erent location update protocols for mobile cellular network. Our model can capture many important features of use...
John C. S. Lui, Cedric C. F. Fong, H. W. Chan