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JGO
2010
117views more  JGO 2010»
15 years 10 days ago
Machine learning problems from optimization perspective
Both optimization and learning play important roles in a system for intelligent tasks. On one hand, we introduce three types of optimization tasks studied in the machine learning l...
Lei Xu
SYNASC
2006
IEEE
95views Algorithms» more  SYNASC 2006»
15 years 8 months ago
Evolutionary Support Vector Regression Machines
Evolutionary support vector machines (ESVMs) are a novel technique that assimilates the learning engine of the state-of-the-art support vector machines (SVMs) but evolves the coef...
Ruxandra Stoean, Dumitru Dumitrescu, Mike Preuss, ...
CLUSTER
2009
IEEE
15 years 5 months ago
Analytical modeling and optimization for affinity based thread scheduling on multicore systems
Abstract--This paper proposes an analytical model to estimate the cost of running an affinity-based thread schedule on multicore systems. The model consists of three submodels to e...
Fengguang Song, Shirley Moore, Jack Dongarra
CAAN
2007
Springer
15 years 5 months ago
Preemptive Scheduling on Selfish Machines
We consider the problem of scheduling on parallel uniformly related machines, where preemptions are allowed and the machines are controlled by selfish agents. Our goal is to minimi...
Leah Epstein, Rob van Stee
114
Voted
EOR
2007
103views more  EOR 2007»
15 years 1 months ago
Bi-criteria scheduling problems: Number of tardy jobs and maximum weighted tardiness
Consider a single machine and a set of   jobs that are available for processing at time 0. Job ¡ has a processing time ¢¤£ , a due date ¥¦£ and a weight §¨£ . We consid...
Yumei Huo, Joseph Y.-T. Leung, Hairong Zhao