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ML
2006
ACM
142views Machine Learning» more  ML 2006»
13 years 7 months ago
The max-min hill-climbing Bayesian network structure learning algorithm
We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines ideas from local learning, constraint-based, and sea...
Ioannis Tsamardinos, Laura E. Brown, Constantin F....
KBSE
2010
IEEE
13 years 6 months ago
Variability modeling in the real: a perspective from the operating systems domain
Variability models represent the common and variable features of products in a product line. Several variability modeling languages have been proposed in academia and industry; ho...
Thorsten Berger, Steven She, Rafael Lotufo, Andrze...
ISESE
2006
IEEE
14 years 1 months ago
The evolution of FreeBSD and Linux
Is the nature of Open Source Software (OSS) evolution fundamentally different from that of the traditional and commercially available software systems? Lehman and others conducted...
Clemente Izurieta, James M. Bieman
ISMAR
2003
IEEE
14 years 23 days ago
Evaluating Label Placement for Augmented Reality View Management
View management, a relatively new area of research in Augmented Reality (AR) applications, is about the spatial layout of 2D virtual annotations in the view plane. This paper repr...
Ronald Azuma, Chris Furmanski
INFOCOM
2010
IEEE
13 years 6 months ago
Recognizing Exponential Inter-Contact Time in VANETs
—Inter-contact time between moving vehicles is one of the key metrics in vehicular ad hoc networks (VANETs) and central to forwarding algorithms and the end-to-end delay. Due to ...
Hongzi Zhu, Luoyi Fu, Guangtao Xue, Yanmin Zhu, Mi...