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ML
2006
ACM
142views Machine Learning» more  ML 2006»
13 years 10 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....
IAJIT
2007
146views more  IAJIT 2007»
13 years 10 months ago
Adaptive Optimizing of Hello Messages in Wireless Ad-Hoc Networks
: Routing is an important functional aspect in wireless ad-hoc networks that handles discovering and maintaining the paths between nodes within a network. Due to nodes mobility, th...
Essam Natsheh, Adznan B. Jantan, Sabira Khatun, Su...
PPL
2008
264views more  PPL 2008»
13 years 10 months ago
A Performance Evaluation of the Nehalem Quad-Core Processor for Scientific Computing
In this work we present an initial performance evaluation of Intel's latest, secondgeneration quad-core processor, Nehalem, and provide a comparison to first-generation AMD a...
Kevin J. Barker, Kei Davis, Adolfy Hoisie, Darren ...
PAAPP
2006
141views more  PAAPP 2006»
13 years 10 months ago
Algorithmic optimizations of a conjugate gradient solver on shared memory architectures
OpenMP is an architecture-independent language for programming in the shared memory model. OpenMP is designed to be simple and in terms of programming abstractions. Unfortunately,...
Henrik Löf, Jarmo Rantakokko
IJBC
2007
90views more  IJBC 2007»
13 years 10 months ago
Extended Phase Diagram of the Lorenz Model
The parameter dependence of the various attractive solutions of the three variable nonlinear Lorenz model equations for thermal convection in Rayleigh-B´enard flow is studied. I...
H. R. Dullin, S. Schmidt, P. H. Richter, S. K. Gro...