1 / 24

Knowledge-Based Support Vector Machine Classifiers

Outline of Talk. Support Vector Machine (SVM) Classifiers. Standard Quadratic Programming formulation. The DNA promoter dataset. Polyhedral Knowledge Sets. Knowledge-Based SVMs. Empirical Evaluation. Conclusion. Wisconsin breast cancer prognosis dataset. . Incorporating knowledge sets i

zudora
Télécharger la présentation

Knowledge-Based Support Vector Machine Classifiers

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

    1. Knowledge-Based Support Vector Machine Classifiers Glenn Fung Olvi Mangasarian Jude Shavlik

    2. Outline of Talk

    3. Support Vector Machines Maximizing the Margin between Bounding Planes

    4. Support Vector Machines Maximizing the Margin between Bounding Planes

    5. Algebra of the Classification Problem 2-Category Linearly Separable Case

    6. Support Vector Machines Quadratic Programming Formulation

    7. Support Vector Machines Linear Programming Formulation

    8. Knowledge-Based SVM via Polyhedral Knowledge Sets

    9. Incorporating Knowledge Sets Into an SVM Classifier

    10. Knowledge Set Equivalence Theorem

    11. Proof of Equivalence Theorem ( Via Nonhomogeneous Farkas or LP Duality)

    12. Knowledge-Based SVM Classification

    13. Knowledge-Based SVM Classification

    14. Knowledge-Based LP with Slack Variables Minimize Error in Knowledge Set Constraints Satisfaction

    15. Knowledge-Based SVM via Polyhedral Knowledge Sets

    16. Empirical Evaluation The Promoter Recognition Dataset

    17. The Promoter Recognition Dataset Numerical Representation

    18. Promoter Recognition Dataset Prior Knowledge Rules

    19. Promoter Recognition Dataset Sample Rules

    20. The Promoter Recognition Dataset Comparative Test Results

    21. Wisconsin Breast Cancer Prognosis Dataset Description of the data

    22. Wisconsin Breast Cancer Prognosis Dataset Numerical Testing Results

    23. Conclusion

    24. Future Research

    25. Web Pages

More Related