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ML
2006
ACM
142views Machine Learning» more  ML 2006»
13 years 9 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....
CLEIEJ
2002
113views more  CLEIEJ 2002»
13 years 8 months ago
The MT Stack: Paging Algorithm and Performance in a Distributed Virtual Memory System
Advances in parallel computation are of central importance to Artificial Intelligence due to the significant amount of time and space their programs require. Functional languages ...
Marco T. Morazán, Douglas R. Troeger, Myles...
CSCW
2002
ACM
13 years 8 months ago
Conventions and Commitments in Distributed CSCW Groups
Conventions are necessary to establish in any recurrent cooperative arrangement. In electronic work, they are important so as to regulate the use of shared objects. Based on empir...
Gloria Mark
ESWA
2010
163views more  ESWA 2010»
13 years 7 months ago
REIT volatility prediction for skew-GED distribution of the GARCH model
This study investigates how specification of return distribution for REIT influences the performance of volatility forecasting using three GARCH models (GARCH-N, GARCH-ST and GARC...
Yen-Hsien Lee, Tung-Yueh Pai
ISMAR
2003
IEEE
14 years 2 months 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