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JMLR
2006
99views more  JMLR 2006»
15 years 6 months ago
Worst-Case Analysis of Selective Sampling for Linear Classification
A selective sampling algorithm is a learning algorithm for classification that, based on the past observed data, decides whether to ask the label of each new instance to be classi...
Nicolò Cesa-Bianchi, Claudio Gentile, Luca ...
PAMI
2008
119views more  PAMI 2008»
15 years 6 months ago
Triplet Markov Fields for the Classification of Complex Structure Data
We address the issue of classifying complex data. We focus on three main sources of complexity, namely, the high dimensionality of the observed data, the dependencies between these...
Juliette Blanchet, Florence Forbes
IJSN
2007
106views more  IJSN 2007»
15 years 6 months ago
Hash-AV: fast virus signature scanning by cache-resident filters
Abstract— Fast virus scanning is becoming increasingly important in today’s Internet. While Moore’s law continues to double CPU cycle speed, virus scanning applications fail ...
Ozgun Erdogan, Pei Cao
TCOM
2008
131views more  TCOM 2008»
15 years 6 months ago
Accurate estimation of the Hurst parameter of long-range dependent traffic using modified Allan and Hadamard variances
Abstract--Internet traffic exhibits self-similarity and longrange dependence (LRD) on various time scales. In this paper, we propose to use the Modified Allan Variance (MAVAR) and ...
Stefano Bregni, Luca Jmoda
IPM
2007
99views more  IPM 2007»
15 years 6 months ago
Percent perfect performance (PPP)
An information retrieval performance measure that is interpreted as the percent of perfect performance (PPP) can be used to study the effects of the inclusion of specific documen...
Robert M. Losee