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» Learning to Predict User Operations for Adaptive Scheduling
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PPOPP
2006
ACM
14 years 2 months ago
Predicting bounds on queuing delay for batch-scheduled parallel machines
Most space-sharing parallel computers presently operated by high-performance computing centers use batch-queuing systems to manage processor allocation. In many cases, users wishi...
John Brevik, Daniel Nurmi, Richard Wolski
KDD
2012
ACM
254views Data Mining» more  KDD 2012»
11 years 11 months ago
Playlist prediction via metric embedding
Digital storage of personal music collections and cloud-based music services (e.g. Pandora, Spotify) have fundamentally changed how music is consumed. In particular, automatically...
Shuo Chen, Josh L. Moore, Douglas Turnbull, Thorst...
ICML
2000
IEEE
14 years 9 months ago
Incremental Learning in SwiftFile
SwiftFile is an intelligent assistant that helps users organize their e-mail into folders. SwiftFile uses a text classifier to predict where each new message is likely to be filed...
Richard Segal, Jeffrey O. Kephart
ICWL
2010
Springer
13 years 6 months ago
An Open Model for Learning Path Construction
Learning path construction is a complex task. It involves formulating and organizing learning activities, defining ways to evaluate student learning progress and to match such prog...
Fan Yang, Frederick W. B. Li, Rynson W. H. Lau
GLOBECOM
2008
IEEE
14 years 2 months ago
A Supervised Learning Approach to Adaptation in Practical MIMO-OFDM Wireless Systems
—MIMO-OFDM wireless systems require adaptive modulation and coding based on channel state information (CSI) to maximize throughput in changing wireless channels. Traditional adap...
Robert C. Daniels, Constantine Caramanis, Robert W...