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» An ASM-Characterization of a Class of Distributed Algorithms
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FLAIRS
2006
14 years 11 months ago
Machine Learning for Imbalanced Datasets: Application in Medical Diagnostic
In this paper, we present a new rule induction algorithm for machine learning in medical diagnosis. Medical datasets, as many other real-world datasets, exhibit an imbalanced clas...
Luis Mena, Jesus A. Gonzalez
EUROPAR
1999
Springer
15 years 1 months ago
A New Algorithm for Multi-objective Graph Partitioning
Recently, a number of graph partitioning applications have emerged with additional requirements that the traditional graph partitioning model alone cannot e ectively handle. One s...
Kirk Schloegel, George Karypis, Vipin Kumar
ICPPW
2005
IEEE
15 years 3 months ago
A Practical Approach to the Rating of Barrier Algorithms Using the LogP Model and Open MPI
Large–scale parallel applications performing global synchronization may spend a significant amount of execution time waiting for the completion of a barrier operation. Conseque...
Torsten Hoefler, Lavinio Cerquetti, Torsten Mehlan...
NEUROSCIENCE
2001
Springer
15 years 2 months ago
Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...
Doina Caragea, Adrian Silvescu, Vasant Honavar
FOCS
2005
IEEE
15 years 3 months ago
Sampling-based Approximation Algorithms for Multi-stage Stochastic
Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
Chaitanya Swamy, David B. Shmoys