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» Decision making in very large networks
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HIPC
2004
Springer
14 years 2 months ago
A-FAST: Autonomous Flow Approach to Scheduling Tasks
Abstract. This paper investigates the problem of autonomously allocating a large number of independent, equal sized tasks on a distributed heterogeneous grid-like platform, using o...
Sagnik Nandy, Larry Carter, Jeanne Ferrante
DATE
2002
IEEE
113views Hardware» more  DATE 2002»
14 years 1 months ago
BerkMin: A Fast and Robust Sat-Solver
We describe a SAT-solver, BerkMin, that inherits such features of GRASP, SATO, and Chaff as clause recording, fast BCP, restarts, and conflict clause “aging”. At the same time...
Evguenii I. Goldberg, Yakov Novikov
IJCNN
2007
IEEE
14 years 3 months ago
Preference Learning for Category-Ranking based Interactive Text Categorization
— Category Ranking is a variant of the multi-label classification problem, in which, rather than performing a (hard) assignment to an object of categories from a predefined set...
Fabio Aiolli, Fabrizio Sebastiani, Alessandro Sper...
PEWASUN
2004
ACM
14 years 2 months ago
A framework of secure location service for position-based ad hoc routing
In large and dense mobile ad hoc networks, position-based routing protocols can offer significant performance improvement over topology-based routing protocols by using location i...
Joo-Han Song, Vincent W. S. Wong, Victor C. M. Leu...
SDM
2007
SIAM
131views Data Mining» more  SDM 2007»
13 years 10 months ago
Load Shedding in Classifying Multi-Source Streaming Data: A Bayes Risk Approach
In many applications, we monitor data obtained from multiple streaming sources for collective decision making. The task presents several challenges. First, data in sensor networks...
Yijian Bai, Haixun Wang, Carlo Zaniolo