On the parameter optimization of Support Vector Machines for binary classification

Articles in the same Issue

1. Using Variable Precision Rough Set for Selection and Classification of Biological Knowledge Integrated in DNA Gene Expression
2. ADOPS - Automatic Detection Of Positively Selected Sites
3. On the parameter optimization of Support Vector Machines for binary classification
4. In silico strain optimization by adding reactions to metabolic models
5. Computational approaches to standard-compliant biofilm data for reliable analysis and integration
6. A Rational Framework for Production Decision Making in Blood Establishments
7. Construction of coffee transcriptome networks based on gene annotation semantics
8. Automatic knowledge extraction in sequencing analysis with multiagent system and grid computing
9. Towards a Classification Approach using Meta-Biclustering: Impact of Discretization in the Analysis of Expression Time Series