344 search results - page 16 / 69 » Support Vector Machines for Predicting microRNA Hairpins |
KDD
2002
ACM
14 years 8 months ago
2002
ACM
Support vector machines (SVMs) excel at two-class discriminative learning problems. They often outperform generative classifiers, especially those that use inaccurate generative m...
ICCV
2007
IEEE
14 years 1 months ago
2007
IEEE
This paper treats tracking as a foreground/background classification problem and proposes an online semisupervised learning framework. Initialized with a small number of labeled ...
ECAI
2004
Springer
14 years 27 days ago
2004
Springer
The standard SVM formulation for binary classification is based on the Hinge loss function, where errors are considered not correlated. Due to this, local information in the featu...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
This paper presents a Support Vector Method for optimizing multivariate nonlinear performance measures like the F1score. Taking a multivariate prediction approach, we give an algo...
ICMLA
2009
13 years 5 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) ...