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» Evaluation of Existing Schedulability Tests for Global EDF
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ISPASS
2009
IEEE
14 years 2 months ago
Machine learning based online performance prediction for runtime parallelization and task scheduling
—With the emerging many-core paradigm, parallel programming must extend beyond its traditional realm of scientific applications. Converting existing sequential applications as w...
Jiangtian Li, Xiaosong Ma, Karan Singh, Martin Sch...
ICGA
1993
75views Optimization» more  ICGA 1993»
13 years 8 months ago
Structure and Performance of Fine-Grain Parallelism in Genetic Search
Within the parallel genetic algorithm framework, there currently exists a growing dichotomy between coarse-pain and fine-grain parallel architectures. This paper attempts to chara...
Shumeet Baluja
CORR
2010
Springer
112views Education» more  CORR 2010»
13 years 7 months ago
An Empirical Study of Borda Manipulation
We study the problem of coalitional manipulation in elections using the unweighted Borda rule. We provide empirical evidence of the manipulability of Borda elections in the form o...
Jessica Davies, George Katsirelos, Nina Narodytska...
AIPS
2003
13 years 8 months ago
Decision-Theoretic Group Elevator Scheduling
We present an efficient algorithm for exact calculation and minimization of expected waiting times of all passengers using a bank of elevators. The dynamics of the system are rep...
Daniel Nikovski, Matthew Brand
ARTMED
1999
92views more  ARTMED 1999»
13 years 7 months ago
Two-Stage Machine Learning model for guideline development
We present a Two-Stage Machine Learning (ML) model as a data mining method to develop practice guidelines and apply it to the problem of dementia staging. Dementia staging in clin...
Subramani Mani, William Rodman Shankle, Malcolm B....