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ICASSP
2011
IEEE
12 years 11 months ago
A pitch based noise estimation technique for robust speech recognition with Missing Data
This paper presents a noise estimation technique based on knowledge of pitch information for robust speech recognition. In the first stage the noise is estimated by means of extr...
Juan Andres Morales-Cordovilla, Ning Ma, Victoria ...
ICS
1999
Tsinghua U.
13 years 12 months ago
Reducing cache misses using hardware and software page placement
As the gap between memory and processor speeds continues to widen, cache efficiency is an increasingly important component of processor performance. Compiler techniques have been...
Timothy Sherwood, Brad Calder, Joel S. Emer
PKDD
1999
Springer
272views Data Mining» more  PKDD 1999»
13 years 12 months ago
Handling Missing Data in Trees: Surrogate Splits or Statistical Imputation
Abstract. In many applications of data mining a - sometimes considerable - part of the data values is missing. This may occur because the data values were simply never entered into...
A. J. Feelders
ECML
2006
Springer
13 years 11 months ago
Learning Process Models with Missing Data
Abstract. In this paper, we review the task of inductive process modeling, which uses domain knowledge to compose explanatory models of continuous dynamic systems. Next we discuss ...
Will Bridewell, Pat Langley, Steve Racunas, Stuart...
RSFDGRC
1999
Springer
194views Data Mining» more  RSFDGRC 1999»
13 years 12 months ago
A Closest Fit Approach to Missing Attribute VAlues in Preterm Birth Data
: In real-life data, in general, many attribute values are missing. Therefore, rule induction requires preprocessing, where missing attribute values are replaced by appropriate val...
Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse,...