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KDD
2002
ACM
179views Data Mining» more  KDD 2002»
16 years 1 months ago
Combining clustering and co-training to enhance text classification using unlabelled data
In this paper, we present a new co-training strategy that makes use of unlabelled data. It trains two predictors in parallel, with each predictor labelling the unlabelled data for...
Bhavani Raskutti, Herman L. Ferrá, Adam Kow...
79
Voted
HPCA
2005
IEEE
16 years 1 months ago
Transition Phase Classification and Prediction
Most programs are repetitive, where similar behavior can be seen at different execution times. Proposed on-line systems automatically group these similar intervals of execution in...
Jeremy Lau, Stefan Schoenmackers, Brad Calder
HPCA
2002
IEEE
16 years 1 months ago
Quantifying Load Stream Behavior
The increasing performance gap between processors and memory will force future architectures to devote significant resources towards removing and hiding memory latency. The two ma...
Suleyman Sair, Timothy Sherwood, Brad Calder
179
Voted
SIGMOD
2007
ACM
196views Database» more  SIGMOD 2007»
16 years 27 days ago
GPUQP: query co-processing using graphics processors
We present GPUQP, a relational query engine that employs both CPUs and GPUs (Graphics Processing Units) for in-memory query co-processing. GPUs are commodity processors traditiona...
Rui Fang, Bingsheng He, Mian Lu, Ke Yang, Naga K. ...
SIGMOD
2003
ACM
150views Database» more  SIGMOD 2003»
16 years 27 days ago
Capturing both Types and Constraints in Data Integration
We propose a framework for integrating data from multiple relational sources into an XML document that both conforms to a given DTD and satisfies predefined XML constraints. The f...
Michael Benedikt, Chee Yong Chan, Wenfei Fan, Juli...
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