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» Application of Reduce Order Modeling to Time Parallelization
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137
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KDD
2009
ACM
152views Data Mining» more  KDD 2009»
16 years 4 months ago
A multi-relational approach to spatial classification
Spatial classification is the task of learning models to predict class labels based on the features of entities as well as the spatial relationships to other entities and their fe...
Richard Frank, Martin Ester, Arno Knobbe
181
Voted
IPPS
1997
IEEE
15 years 8 months ago
DPF: A Data Parallel Fortran Benchmark Suite
We present the Data Parallel Fortran (DPF) benchmark suite, a set of data parallel Fortran codes forevaluatingdata parallel compilers appropriatefor any target parallel architectu...
Y. Charlie Hu, S. Lennart Johnsson, Dimitris Kehag...
IJFCS
2006
106views more  IJFCS 2006»
15 years 3 months ago
A Timed Failure Equivalence Preserving Abstraction for Parametric Time-interval Automata
ion for Parametric Time-Interval Automata Akio Nakata, Tadaaki Tanimoto, Suguru Sasaki, Teruo Higashino Department of Information Networking, Graduate School of Information Science...
Akio Nakata, Tadaaki Tanimoto, Suguru Sasaki, Teru...
154
Voted
HIPC
2004
Springer
15 years 9 months ago
Lock-Free Parallel Algorithms: An Experimental Study
Abstract. Lock-free shared data structures in the setting of distributed computing have received a fair amount of attention. Major motivations of lock-free data structures include ...
Guojing Cong, David A. Bader
IJCNN
2007
IEEE
15 years 10 months ago
Parallel Learning of Large Fuzzy Cognitive Maps
— Fuzzy Cognitive Maps (FCMs) are a class of discrete-time Artificial Neural Networks that are used to model dynamic systems. A recently introduced supervised learning method, wh...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz