7530 search results - page 119 / 1506 » Machine learning in bioinformatics |
174
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CVPR
2012
IEEE
13 years 7 months ago
2012
IEEE
While Boltzmann Machines have been successful at unsupervised learning and density modeling of images and speech data, they can be very sensitive to noise in the data. In this pap...
175
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IJCNN
2008
IEEE
15 years 11 months ago
2008
IEEE
— Ordinal regression is an important type of learning, which has properties of both classification and regression. Here we describe an effective approach to adapt a traditional ...
174
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KDD
2006
ACM
16 years 5 months ago
2006
ACM
Linear and Quadratic Discriminant Analysis have been used widely in many areas of data mining, machine learning, and bioinformatics. Friedman proposed a compromise between Linear ...
205
Voted
BIBE
2008
IEEE
15 years 5 months ago
2008
IEEE
This paper presents a novel method for DNA microarray gridding based on Support Vector Machine (SVM) classifiers. It employs a set of soft-margin SVMs to estimate the lines of the ...
151
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KDD
2001
ACM
16 years 5 months ago
2001
ACM
During the last decade, the area of bioinformatics has produced an overwhelming amount of data, with the recently published draft of the human genome being the most prominent exam...