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JMLR
2006
169views more  JMLR 2006»
13 years 8 months ago
Bayesian Network Learning with Parameter Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
TCSV
2002
132views more  TCSV 2002»
13 years 8 months ago
A study of real-time packet video quality using random neural networks
An important and unsolved problem today is the automatic quantification of the quality of video flows transmitted over packet networks. In particular, the ability to perform this ...
Samir Mohamed, Gerardo Rubino
CCGRID
2006
IEEE
14 years 2 months ago
Proposal of MPI Operation Level Checkpoint/Rollback and One Implementation
With the increasing number of processors in modern HPC(High Performance Computing) systems, there are two emergent problems to solve. One is scalability, the other is fault tolera...
Yuan Tang, Graham E. Fagg, Jack Dongarra
CSMR
2010
IEEE
13 years 3 months ago
Does the Past Say It All? Using History to Predict Change Sets in a CMDB
To avoid unnecessary maintenance costs in large IT systems resulting from poorly planned changes, it is essential to manage and control changes to the system and to verify that all...
Sarah Nadi, Richard C. Holt, Serge Mankovski
KDD
2009
ACM
379views Data Mining» more  KDD 2009»
14 years 1 months ago
MetaFac: community discovery via relational hypergraph factorization
This paper aims at discovering community structure in rich media social networks, through analysis of time-varying, multi-relational data. Community structure represents the laten...
Yu-Ru Lin, Jimeng Sun, Paul Castro, Ravi B. Konuru...