Incorporating Domain Knowledge into a Min-Max Modular Support Vector Machine for Protein Subcellular Localization

Yang Yang; Bao‐Liang Lu

doi:10.1007/978-3-540-69162-4_86

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Incorporating Domain Knowledge into a Min-Max Modular Support Vector Machine for Protein Subcellular Localization

Yang Yang Bao‐Liang Lu

Year: 2008 Lecture notes in computer science Pages: 827-836 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-540-69162-4_86

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Keywords:

Support vector machine Computer science Modular design Classifier (UML) Artificial intelligence Speedup Machine learning Annotation Domain knowledge Structured support vector machine Subcellular localization Pattern recognition (psychology)

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Machine Learning in Bioinformatics

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Genomics and Phylogenetic Studies

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

RNA and protein synthesis mechanisms

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Incorporating Domain Knowledge into a Min-Max Modular Support Vector Machine for Protein Subcellular Localization

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