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IJON
2008
95views more  IJON 2008»
14 years 9 days ago
A support vector machine with integer parameters
We describe here a method for building a support vector machine (SVM) with integer parameters. Our method is based on a branchand-bound procedure, derived from modern mixed intege...
Davide Anguita, Alessandro Ghio, Stefano Pischiutt...
IJCSA
2008
132views more  IJCSA 2008»
14 years 9 days ago
Biomedical Named Entity Recognition Based on Classifiers Ensemble
In this paper, we present classifiers ensemble approaches for biomedical named entity recognition. Generalized Winnow, Conditional Random Fields, Support Vector Machine, and Maxim...
Haochang Wang, Tiejun Zhao, Hongye Tan, Shu Zhang
BMCBI
2006
169views more  BMCBI 2006»
14 years 10 days ago
Machine learning techniques in disease forecasting: a case study on rice blast prediction
Background: Diverse modeling approaches viz. neural networks and multiple regression have been followed to date for disease prediction in plant populations. However, due to their ...
Rakesh Kaundal, Amar S. Kapoor, Gajendra P. S. Rag...
BMCBI
2006
85views more  BMCBI 2006»
14 years 10 days ago
Searching for interpretable rules for disease mutations: a simulated annealing bump hunting strategy
Background: Understanding how amino acid substitutions affect protein functions is critical for the study of proteins and their implications in diseases. Although methods have bee...
Rui Jiang, Hua Yang, Fengzhu Sun, Ting Chen
BMCBI
2006
106views more  BMCBI 2006»
14 years 11 days ago
Improving the performance of DomainDiscovery of protein domain boundary assignment using inter-domain linker index
Background: Knowledge of protein domain boundaries is critical for the characterisation and understanding of protein function. The ability to identify domains without the knowledg...
Abdur R. Sikder, Albert Y. Zomaya
BMCBI
2006
158views more  BMCBI 2006»
14 years 11 days ago
Detection of non-coding RNAs on the basis of predicted secondary structure formation free energy change
Background: Non-coding RNAs (ncRNAs) have a multitude of roles in the cell, many of which remain to be discovered. However, it is difficult to detect novel ncRNAs in biochemical s...
Andrew V. Uzilov, Joshua M. Keegan, David H. Mathe...
AUTOMATICA
2006
150views more  AUTOMATICA 2006»
14 years 11 days ago
Enlarging the terminal region of nonlinear model predictive control using the support vector machine method
In this paper, Receding Horizon Model Predictive Control (RHMPC) of nonlinear systems subject to input and state constraints is considered. We propose to estimate the terminal reg...
Chong Jin Ong, Dan Sui, Elmer G. Gilbert
DAM
2008
83views more  DAM 2008»
14 years 11 days ago
Multi-group support vector machines with measurement costs: A biobjective approach
Support Vector Machine has shown to have good performance in many practical classification settings. In this paper we propose, for multi-group classification, a biobjective optimi...
Emilio Carrizosa, Belen Martin-Barragan, Dolores R...
CORR
2008
Springer
159views Education» more  CORR 2008»
14 years 11 days ago
Face Detection Using Adaboosted SVM-Based Component Classifier
: Boosting is a general method for improving the accuracy of any given learning algorithm. In this paper we employ combination of Adaboost with Support Vector Machine (SVM) as comp...
Seyyed Majid Valiollahzadeh, Abolghasem Sayadiyan,...
CORR
2008
Springer
113views Education» more  CORR 2008»
14 years 12 days ago
Robustness, Risk, and Regularization in Support Vector Machines
We consider two new formulations for classification problems in the spirit of support vector machines based on robust optimization. Our formulations are designed to build in prote...
Huan Xu, Shie Mannor, Constantine Caramanis