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KDD
2006
ACM
180views Data Mining» more  KDD 2006»
15 years 10 months ago
Learning the unified kernel machines for classification
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang
HPCA
2008
IEEE
15 years 10 months ago
System level analysis of fast, per-core DVFS using on-chip switching regulators
Portable, embedded systems place ever-increasing demands on high-performance, low-power microprocessor design. Dynamic voltage and frequency scaling (DVFS) is a well-known techniq...
Wonyoung Kim, Meeta Sharma Gupta, Gu-Yeon Wei, Dav...
ATAL
2010
Springer
14 years 10 months ago
Preference elicitation for risky prospects
Minimax-regret preference elicitation allows intelligent decisions to be made on behalf of people facing risky choices. Standard gamble queries, a vital tool in this type of prefe...
Greg Hines, Kate Larson
MICRO
2000
IEEE
176views Hardware» more  MICRO 2000»
14 years 9 months ago
An Advanced Optimizer for the IA-64 Architecture
level of abstraction, compared with the program representation for scalar optimizations. For example, loop unrolling and loop unrolland-jam transformations exploit the large regist...
Rakesh Krishnaiyer, Dattatraya Kulkarni, Daniel M....
INFOCOM
2010
IEEE
14 years 8 months ago
A Framework for Joint Network Coding and Transmission Rate Control in Wireless Networks
—Network coding has been proposed as a technique that can potentially increase the transport capacity of a wireless network via processing and mixing of data packets at intermedi...
Tae-Suk Kim, Serdar Vural, Ioannis Broustis, Dimit...