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Dr. Andre Elisseeff

 

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Andre Elisseeff

Position: Wissenschaftler  Abteilung: 

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Artikel (6):

Weston J, Leslie CS, Ie E, Zhou D, Elisseeff A und Noble WS (2005) Semi-supervised protein classification using cluster kernels Bioinformatics 21(15) 3241-3247.
Weston J, Elisseeff A, Zhou D, Leslie C und Noble WS (April-2004) Protein ranking: from local to global structure in the protein similarity network Proceedings of the National Academy of Sciences of the United States of America 101(17) 6559-6563.
Weston J, Perez-Cruz F, Bousquet O, Chapelle O, Elisseeff A und Schölkopf B (April-2003) Feature selection and transduction for prediction of molecular bioactivity for drug design Bioinformatics 19(6) 764-771.
Guyon I und Elisseeff A (März-2003) An Introduction to Variable and Feature Selection. Journal of Machine Learning 3 1157-1182.
Weston J, Elisseeff A, Schölkopf B und Tipping M (März-2003) Use of the Zero-Norm with Linear Models and Kernel Methods Journal of Machine Learning Research 3 1439-1461.
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Bousquet O und Elisseeff A (2002) Stability and Generalization Journal of Machine Learning Research 2 499-526.
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Beiträge zu Tagungsbänden (5):

Weston J, Leslie C, Zhou D, Elisseeff A und Noble WS (Juni-2004) Semi-Supervised Protein Classification using Cluster Kernels In: Advances in Neural Information Processing Systems 16, , Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), MIT Press, Cambridge, MA, USA, 595-602.
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Weston J, Chapelle O, Elisseeff A, Schölkopf B und Vapnik V (Oktober-2003) Kernel Dependency Estimation In: Advances in Neural Information Processing Systems 15, , Sixteenth Annual Conference on Neural Information Processing Systems (NIPS 2002), MIT Press, Cambridge, MA, USA, 873-880.
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Elisseeff A und Pontil M (2003) Stability of ensembles of kernel machines In: Advances in learning theory: methods, models and applications, , NATO Advanced Study Institute on Learning Theory and Practice 2002, IOS Press, Amsterdam, The Netherlands, 111-124, Series: NATO Science Series III: Computer and Systems Science ; 190.
Bousquet O und Elisseeff A (April-2001) Algorithmic Stability and Generalization Performance In: Advances in Neural Information Processing Systems 13, , Fourteenth Annual Neural Information Processing Systems Conference (NIPS 2000), MIT Press, Cambridge, MA, USA, 196-202.
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Smola AJ, Elisseeff A, Schölkopf B und Williamson RC (2000) Entropy numbers for convex combinations and MLPs In: Advances in Large Margin Classifiers, , NIPS 1998 Workshop “Advances in Large Margin Classifiers”, MIT Press, Cambridge, MA, USA, 369-387, Series: Neural Information Processing Series.

Beiträge zu Büchern (1):

Lal TN, Chapelle O, Weston J und Elisseeff A: Embedded methods, 137-165. In: Feature Extraction: Foundations and Applications, (Ed) I. Guyon, Springer, Berlin, Germany, (2006).
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Technische Berichte (4):

Weston J, Leslie C, Elisseeff A und Noble WS: Machine Learning approaches to protein ranking: discriminative, semi-supervised, scalable algorithms, 111, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (Juni-2003).
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Weston J, Chapelle O, Elisseeff A, Schölkopf B und Vapnik V: Kernel Dependency Estimation, 98, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (August-2002).
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Weston J, Perez-Cruz F, Bousquet O, Chapelle O, Elisseeff A und Schölkopf B: KDD Cup 2001 data analysis: prediction of molecular bioactivity for drug design - Binding to Thrombin, BIOwulf Technologies, Savannah GA USA, (2001).
Weston J, Elisseeff A und Schölkopf B: Use of the $ell_0$-norm with linear models and kernel methods, BIOwulf Technologies, Savannah GA USA, (2001).

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Last updated: Montag, 22.05.2017