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CORR
2008
Springer
157views Education» more  CORR 2008»
15 years 6 months ago
The Imaginary Sliding Window As a New Data Structure for Adaptive Algorithms
Abstract.1 The scheme of the sliding window is known in Information Theory, Computer Science, the problem of predicting and in stastistics. Let a source with unknown statistics gen...
Boris Ryabko
NIPS
2004
15 years 7 months ago
Support Vector Classification with Input Data Uncertainty
This paper investigates a new learning model in which the input data is corrupted with noise. We present a general statistical framework to tackle this problem. Based on the stati...
Jinbo Bi, Tong Zhang
DAC
2003
ACM
16 years 7 months ago
Death, taxes and failing chips
In the way they cope with variability, present-day methodologies are onerous, pessimistic and risky, all at the same time! Dealing with variability is an increasingly important as...
Chandu Visweswariah
122
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CORR
1999
Springer
61views Education» more  CORR 1999»
15 years 6 months ago
Language Identification With Confidence Limits
A statistical classification algorithm and its application to language identification from noisy input are described. The main innovation is to compute confidence limits on the cl...
David Elworthy
ICDM
2007
IEEE
104views Data Mining» more  ICDM 2007»
16 years 18 days ago
Secure Logistic Regression of Horizontally and Vertically Partitioned Distributed Databases
Privacy-preserving data mining (PPDM) techniques aim to construct efficient data mining algorithms while maintaining privacy. Statistical disclosure limitation (SDL) techniques a...
Aleksandra B. Slavkovic, Yuval Nardi, Matthew M. T...