409 search results - page 33 / 82 » Predicting Nucleolar Proteins Using Support-Vector Machines |
110
Voted
AH
2004
Springer
15 years 9 months ago
2004
Springer
This paper presents a comparison among several well-known machine learning techniques when they are used to carry out a one-session ahead prediction of page categories. We use reco...
134
Voted
ISMIS
2005
Springer
15 years 9 months ago
2005
Springer
In this paper, we adapt a statistical learning approach, inspired by automated topic segmentation techniques in speech-recognized documents to the challenging protein segmentation ...
122
Voted
IPPS
2008
IEEE
15 years 10 months ago
2008
IEEE
In this study, we propose a new machine learning model namely, Adaptive Locality-Effective Kernel Machine (Adaptive-LEKM) for protein phosphorylation site prediction. Adaptive-LEK...
118
Voted
BMCBI
2010
15 years 3 months ago
2010
Background: We analysed 48 non-redundant antibiotic target proteins from all bacteria, 22 antibiotic target proteins from E. coli only and 4243 non-drug targets from E. coli to id...
143
Voted
RECOMB
2005
Springer
16 years 4 months ago
2005
Springer
Background: Support Vector Machines (SVMs) ? using a variety of string kernels ? have been successfully applied to biological sequence classification problems. While SVMs achieve ...