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» Learning Models for Predicting Recognition Performance
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SSPR
2004
Springer
15 years 11 months ago
Optimizing Classification Ensembles via a Genetic Algorithm for a Web-Based Educational System
Classification fusion combines multiple classifications of data into a single classification solution of greater accuracy. Feature extraction aims to reduce the computational cost ...
Behrouz Minaei-Bidgoli, Gerd Kortemeyer, William F...
KDD
2008
ACM
132views Data Mining» more  KDD 2008»
16 years 6 months ago
Partitioned logistic regression for spam filtering
Naive Bayes and logistic regression perform well in different regimes. While the former is a very simple generative model which is efficient to train and performs well empirically...
Ming-wei Chang, Wen-tau Yih, Christopher Meek
KDD
2005
ACM
73views Data Mining» more  KDD 2005»
16 years 6 months ago
Using relational knowledge discovery to prevent securities fraud
We describe an application of relational knowledge discovery to a key regulatory mission of the National Association of Securities Dealers (NASD). NASD is the world's largest...
Özgür Simsek, David Jensen, Henry G. Gol...
IDA
2002
Springer
15 years 5 months ago
Online classification of nonstationary data streams
Most classification methods are based on the assumption that the data conforms to a stationary distribution. However, the real-world data is usually collected over certain periods...
Mark Last
ICASSP
2008
IEEE
16 years 13 days ago
Exploiting temporal change of pitch in formant estimation
This paper considers the problem of obtaining an accurate spectral representation of speech formant structure when the voicing source exhibits a high fundamental frequency. Our wo...
Tao T. Wang, Thomas F. Quatieri