Record ID | ia:isbn_9783540354871 |
Source | Internet Archive |
Download MARC XML | https://archive.org/download/isbn_9783540354871/isbn_9783540354871_marc.xml |
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024 3 $a9783540354871
035 $a(CSdNU)u286975-01national_inst
035 $a(OCoLC)70886217
035 $a(OCoLC)70886217
035 $a(OCoLC)70886217
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090 $aQA76.9.D3$bF4355 2006
245 00 $aFeature extraction :$bfoundations and applications /$cIsabelle Guyon ... [et al.] (eds.).
260 $aBerlin :$bSpringer-Verlag,$cc2006.
300 $axxiv, 778 p. :$bill. ;$c25 cm. +$e1 CD-ROM (4 3/4 in.).
440 0 $aStudies in fuzziness and soft computing,$x1434-9922 ;$vv. 207
504 $aIncludes bibliographical references and index.
505 0 $aAn introduction to feature extraction / Isabelle Guyon and Andre Elisseeff -- 1. Learning machines / Norbert Jankowski and Krzysztof Grabczewski -- 2. Assessment methods / Gerard Dreyfus and Isabelle Guyon -- 3. Filter methods / Wlodzislaw Duch -- 4. Search strategies / Juha Reunanen -- 5. Embedded methods / Thomas Navin Lal, Olivier Chapelle, Jason Weston and Andre Elisseeff -- 6. Information-theoretic methods / Kari Torkkola -- 7. Ensemble learning / Eugene Tuv -- 8. Fuzzy neural networks / Madan M. Gupta, Noriyasu Homma and Zeng-Guang Hou -- 9. Design and analysis of the NIPS2003 challenge / Isabelle Guyon, Steve Gunn, Asa Ben Hur and Gideon Dror -- 10. High dimensional classification with Bayesian neural networks and Dirichlet diffusion trees / Radford M. Neal and Jianguo Zhang -- 11. Ensembles of regularized least squares classifiers for high-dimensional problems / Kari Torkkola and Eugene Tuv -- 12. Combining SVMs with various feature selection strategies / Yi-Wei Chen and Chih-Jen Lin -- 13. Feature selection with transductive support vector machines / Zhili Wu and Chunhung Li -- 14. Variable selection using correlation and single variable classifier methods : applications / Amir Reza Saffari Azar Alamdari -- 15. Tree-based ensembles with dynamic soft feature selection / Alexander Borisov, Victor Eruhimov and Eugene Tuv -- 16. Sparse, flexible and efficient modeling using L[subscript 1] regularization / Saharon Rosset and Ji Zhu -- 17. Margin based feature selection and infogain with standard classifiers / Ran Gilad-Bachrach and Amir Navot -- 18. Bayesian support vector machines for feature ranking and selection / Wei Chu, S. Sathiya Keerthi, Chong Jin Ong and Zoubin Ghahramani -- 19. Nonlinear feature selection with the potential support vector machine / Sepp Hochreiter and Klaus Obermayer -- 20. Combining a filter method with SVMs / Thomas Navin Lal, Olivier Chapelle and Bernhard Scholkopf -- 21. Feature selection via sensitivity analysis with direct kernel PLS / Mark J. Embrechts, Robert A. Bress and Robert H. Kewley -- 22. Information gain, correlation and support vector machines / Danny Roobaert, Grigoris Karakoulas and Nitesh V. Chawla -- 23. Mining for complex models comprising feature selection and classification / Krzysztof Grabczewski and Norbert Jankowski -- 24. Combining information-based supervised and unsupervised feature selection / Sang-Kyun Lee, Seung-Joon Yi and Byoung-Tak Zhang -- 25. An enhanced selective Naive Bayes method with optimal discretization / Marc Boulle -- 26. An input variable importance definition based on empirical data probability distribution / V. Lemaire and F. Clerot -- 27. Spectral dimensionality reduction / Yoshua Bengio, Olivier Delalleau, Nicolas Le Roux, Jean-Francois Paiement, Pascal Vincent and Marie Ouimet -- 28. Constructing orthogonal latent features for arbitrary loss / Michinari Momma and Kristin P. Bennett -- 29. Large margin principles for feature selection / Ran Gilad-Bachrach, Amir Navot and Naftali Tishby -- 30. Feature extraction for classification of proteomic mass spectra : a comparative study / Ilya Levner, Vadim Bulitko and Guohui Lin -- 31. Sequence motifs : highly predictive features of protein function / Asa Ben-Hur and Douglas Brutlag.
538 $aSystem requirements for disc: IBM PC or compatible; Windows; Adobe Reader, CD-ROM drive.
650 0 $aDatabase management.
700 1 $aGuyon, Isabelle.
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