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COLT
2000
Springer
14 years 23 days ago
On the Convergence Rate of Good-Turing Estimators
Good-Turing adjustments of word frequencies are an important tool in natural language modeling. In particular, for any sample of words, there is a set of words not occuring in tha...
David A. McAllester, Robert E. Schapire
MASCOTS
2004
13 years 9 months ago
Mining Performance Data from Sampled Event Traces
The prominent role of the memory hierarchy as one of the major bottlenecks in achieving good program performance has motivated the search for ways of capturing the memory performa...
Ricardo Portillo, Diana Villa, Patricia J. Teller,...
ICML
2005
IEEE
14 years 9 months ago
Predicting relative performance of classifiers from samples
This paper is concerned with the problem of predicting relative performance of classification algorithms. It focusses on methods that use results on small samples and discusses th...
Rui Leite, Pavel Brazdil
ACL
2008
13 years 10 months ago
Phrase Table Training for Precision and Recall: What Makes a Good Phrase and a Good Phrase Pair?
In this work, the problem of extracting phrase translation is formulated as an information retrieval process implemented with a log-linear model aiming for a balanced precision an...
Yonggang Deng, Jia Xu, Yuqing Gao
CISS
2010
IEEE
13 years 1 days ago
Compressive sampling for streaming signals with sparse frequency content
Abstract—Compressive sampling (CS) has emerged as significant signal processing framework to acquire and reconstruct sparse signals at rates significantly below the Nyquist rate...
Petros Boufounos, M. Salman Asif