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» Prediction from Partial Data, Renormalization, and Averaging
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ALT
2009
Springer
15 years 6 months ago
Average-Case Active Learning with Costs
Abstract. We analyze the expected cost of a greedy active learning algorithm. Our analysis extends previous work to a more general setting in which different queries have differe...
Andrew Guillory, Jeff A. Bilmes
CSIE
2009
IEEE
15 years 4 months ago
A Computation Saving Partial-Sum-Global-Update Scheme for Perceptron Branch Predictor
With the pipeline deepen and issue width widen, the accuracy of branch predictor becomes more and more important to the performance of a microprocessor. State-of-theart researches...
Liqiang He
81
Voted
ICPP
2003
IEEE
15 years 2 months ago
Enabling Partial Cache Line Prefetching Through Data Compression
Hardware prefetching is a simple and effective technique for hiding cache miss latency and thus improving the overall performance. However, it comes with addition of prefetch buff...
Youtao Zhang, Rajiv Gupta
109
Voted
TSP
2010
14 years 4 months ago
Optimization and analysis of distributed averaging with short node memory
Distributed averaging describes a class of network algorithms for the decentralized computation of aggregate statistics. Initially, each node has a scalar data value, and the goal...
Boris N. Oreshkin, Mark Coates, Michael G. Rabbat
LION
2009
Springer
112views Optimization» more  LION 2009»
15 years 4 months ago
A Graph-Based Semi-supervised Algorithm for Protein Function Prediction from Interaction Maps
Abstract. Protein function prediction represents a fundamental challenge in bioinformatics. The increasing availability of proteomics network data has enabled the development of se...
Valerio Freschi