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SAC
2005
ACM
15 years 11 months ago
Stochastic scheduling of active support vector learning algorithms
Active learning is a generic approach to accelerate training of classifiers in order to achieve a higher accuracy with a small number of training examples. In the past, simple ac...
Gaurav Pandey, Himanshu Gupta, Pabitra Mitra
EUROPAR
2005
Springer
15 years 11 months ago
A Detailed Study on Phase Predictors
Most programs are repetitive, meaning that some parts of a program are executed more than once. As a result, a number of phases can be extracted in which each phase exhibits simila...
Frederik Vandeputte, Lieven Eeckhout, Koen De Boss...
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
15 years 11 months ago
An artificial immune network for multimodal function optimization on dynamic environments
Multimodal optimization algorithms inspired by the immune system are generally characterized by a dynamic control of the population size and by diversity maintenance along the sea...
Fabrício Olivetti de França, Fernand...
HIPEAC
2005
Springer
15 years 11 months ago
Dynamic Code Region (DCR) Based Program Phase Tracking and Prediction for Dynamic Optimizations
Detecting and predicting a program’s execution phases are crucial to dynamic optimizations and dynamically adaptable systems. This paper shows that a phase can be associated with...
Jinpyo Kim, Sreekumar V. Kodakara, Wei-Chung Hsu, ...
SC
2004
ACM
15 years 11 months ago
A Self-Organizing Storage Cluster for Parallel Data-Intensive Applications
Cluster-based storage systems are popular for data-intensive applications and it is desirable yet challenging to provide incremental expansion and high availability while achievin...
Hong Tang, Aziz Gulbeden, Jingyu Zhou, William Str...