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» Generality Is Predictive of Prediction Accuracy
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ICML
2008
IEEE
16 years 7 months ago
Laplace maximum margin Markov networks
We propose Laplace max-margin Markov networks (LapM3 N), and a general class of Bayesian M3 N (BM3 N) of which the LapM3 N is a special case with sparse structural bias, for robus...
Jun Zhu, Eric P. Xing, Bo Zhang
USENIX
2008
15 years 9 months ago
Prefetching with Adaptive Cache Culling for Striped Disk Arrays
Conventional prefetching schemes regard prediction accuracy as important because useless data prefetched by a faulty prediction may pollute the cache. If prefetching requires cons...
Sung Hoon Baek, Kyu Ho Park
BMCBI
2008
146views more  BMCBI 2008»
15 years 6 months ago
nGASP - the nematode genome annotation assessment project
Background: While the C. elegans genome is extensively annotated, relatively little information is available for other Caenorhabditis species. The nematode genome annotation asses...
Avril Coghlan, Tristan J. Fiedler, Sheldon J. McKa...
JMLR
2002
138views more  JMLR 2002»
15 years 6 months ago
Text Chunking based on a Generalization of Winnow
This paper describes a text chunking system based on a generalization of the Winnow algorithm. We propose a general statistical model for text chunking which we then convert into ...
Tong Zhang, Fred Damerau, David Johnson
IROS
2009
IEEE
131views Robotics» more  IROS 2009»
16 years 1 months ago
A Multi-Element generalized Polynomial Chaos approach to analysis of mobile robot dynamics under uncertainty
— The ability of mobile robots to quickly and accurately analyze their dynamics is critical to their safety and efficient operation. In field conditions, significant uncertainty ...
Gaurav Kewlani, Karl Iagnemma