48 search results - page 5 / 10 » Incomplete-data classification using logistic regression |
114
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ESEM
2007
ACM
15 years 3 months ago
2007
ACM
The goal of this paper is to improve the prediction performance of fault-prone module prediction models (fault-proneness models) by employing over/under sampling methods, which ar...
ICPR
2004
IEEE
16 years 21 days ago
2004
IEEE
This paper proposes a learning scheme based still image super-resolution reconstruction algorithm. Superresolution reconstruction is proposed as a binary classification problem an...
102
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IJCAI
2003
15 years 29 days ago
2003
Bayesian network models are widely used for discriminative prediction tasks such as classification. Usually their parameters are determined using 'unsupervised' methods ...
119
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TCBB
2010
14 years 6 months ago
2010
Automatic classification of proteins using machine learning is an important problem that has received significant attention in the literature. One feature of this problem is that e...
KDD
2001
ACM
16 years 4 hour ago
2001
ACM
Predictive models developed by applying Data Mining techniques are used to improve forecasting accuracy in the airline business. In order to maximize the revenue on a flight, the ...