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BMCBI
2004
114views more  BMCBI 2004»
13 years 10 months ago
Profiled support vector machines for antisense oligonucleotide efficacy prediction
Background: This paper presents the use of Support Vector Machines (SVMs) for prediction and analysis of antisense oligonucleotide (AO) efficacy. The collected database comprises ...
Gustavo Camps-Valls, Alistair M. Chalk, Antonio J....
ECCC
2000
140views more  ECCC 2000»
13 years 10 months ago
Randomized Approximation Schemes for Scheduling Unrelated Parallel Machines
We consider the problem of Scheduling n Independent Jobs on m Unrelated Parallel Machines, when the number of machines m is xed. We address the standard problem of minimizing the ...
Pavlos Efraimidis, Paul G. Spirakis
TMI
2010
172views more  TMI 2010»
13 years 8 months ago
Comparison of AdaBoost and Support Vector Machines for Detecting Alzheimer's Disease Through Automated Hippocampal Segmentation
Abstract— We compared four automated methods for hippocampal segmentation using different machine learning algorithms (1) hierarchical AdaBoost, (2) Support Vector Machines (SVM)...
Jonathan H. Morra, Zhuowen Tu, Liana G. Apostolova...
VIS
2009
IEEE
399views Visualization» more  VIS 2009»
14 years 11 months ago
Visual Human+Machine Learning
In this paper we describe a novel method to integrate interactive visual analysis and machine learning to support the insight generation of the user. The suggested approach combine...
Raphael Fuchs, Jürgen Waser, Meister Eduard Gr...
ISSTA
2004
ACM
14 years 3 months ago
Verifying process models built using parameterized state machines
Software process and workflow languages are increasingly used to define loosely-coupled systems of systems. These languages focus on coordination issues such as data flow and c...
Barbara Staudt Lerner