711 search results - page 55 / 143 » Applying Support Vector Machines to Imbalanced Datasets |
ECML
2006
Springer
14 years 21 days ago
2006
Springer
This paper presents a decoupled two stage solution to the multiple-instance learning (MIL) problem. With a constructed affinity matrix to reflect the instance relations, a modified...
ICONIP
2008
13 years 10 months ago
2008
In this paper, we present the performance of machine learning-based methods for detection of phishing sites. We employ 9 machine learning techniques including AdaBoost, Bagging, S...
JMLR
2012
11 years 11 months ago
2012
We propose a new family of latent variable models called max-margin min-entropy (m3e) models, which define a distribution over the output and the hidden variables conditioned on ...
CIBCB
2007
IEEE
14 years 3 months ago
2007
IEEE
Abstract— We applied Support Vector Machines to the prediction of the subcellular localization of transmembrane proteins, and compared the performance of different sequence kerne...
BICOB
2009
Springer
14 years 1 months ago
2009
Springer
Protein phosphorylation is a crucial regulatory mechanism in various organisms. With recent improvements in mass spectrometry, phosphorylation site data are rapidly accumulating. D...