Soft Computing for Knowledge Discovery: Introducing Cartesian Granule Features - Softcover
Buch 199 von 260: The Springer International Series in Engineering and Computer Science
Inhaltsangabe
Note to the Reader. Foreword. Preface. Part I: 1. Knowledge Discovery. Part II: 2. Knowledge Representation. 3. Fuzzy Set Theory. 4. Fuzzy Logic. 5. Probability Theory. 6. Fril - A Support Logic Programming Environment. Part III: 7. Machine Learning. Part IV: 8. Cartesian Granule Features. 9. Learning Cartesian Granule Feature Models. Part V: 10. Analysis of Cartesian Granule Feature Models. 11. Applications. Appendix: Evolutionary Computation. Glossary of Main Symbols. Subject Index.
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