388 search results - page 22 / 78 » Transductive support vector machines for structured variable... |
BMCBI
2008
14 years 10 months ago
2008
Background: With the advent of high throughput biotechnology data acquisition platforms such as micro arrays, SNP chips and mass spectrometers, data sets with many more variables ...
ICMLA
2009
14 years 8 months ago
2009
In structured prediction problems, outputs are not confined to binary labels; they are often complex objects such as sequences, trees, or alignments. Support Vector Machine (SVM) ...
SSPR
2004
Springer
15 years 3 months ago
2004
Springer
We present a novel clustering method using HMM parameter space and eigenvector decomposition. Unlike the existing methods, our algorithm can cluster both constant and variable leng...
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SCHOLARPEDIA
2008
14 years 8 months ago
2008
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
DIS
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. In this paper we explore a topic which is at the intersection of two areas of Machine Learning: namely Support Vector Machines (SVMs) and Inductive Logic Programming (ILP...