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» Learning Application Models for Utility Resource Planning
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CCGRID
2007
IEEE
14 years 3 months ago
Performance Evaluation in Grid Computing: A Modeling and Prediction Perspective
Experimental performance studies on computer systems, including Grids, require deep understandings on their workload characteristics. The need arises from two important and closel...
Hui Li
KDD
2010
ACM
247views Data Mining» more  KDD 2010»
13 years 10 months ago
Active learning for biomedical citation screening
Active learning (AL) is an increasingly popular strategy for mitigating the amount of labeled data required to train classifiers, thereby reducing annotator effort. We describe ...
Byron C. Wallace, Kevin Small, Carla E. Brodley, T...
ICML
2008
IEEE
14 years 9 months ago
An HDP-HMM for systems with state persistence
The hierarchical Dirichlet process hidden Markov model (HDP-HMM) is a flexible, nonparametric model which allows state spaces of unknown size to be learned from data. We demonstra...
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan,...
SIGMETRICS
1999
ACM
120views Hardware» more  SIGMETRICS 1999»
14 years 1 months ago
A Performance Study of Dynamic Replication Techniques in Continuous Media Servers
Multimedia applications are emerging in education, information dissemination, entertainment, as well as many other applications. The stringent requirements of such applications ma...
Cheng-Fu Chou, Leana Golubchik, John C. S. Lui
AAAI
2008
13 years 11 months ago
Transfer Learning via Dimensionality Reduction
Transfer learning addresses the problem of how to utilize plenty of labeled data in a source domain to solve related but different problems in a target domain, even when the train...
Sinno Jialin Pan, James T. Kwok, Qiang Yang