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Devroye, L., Gyorfi, L., & Lugosi, G. (1996). A probabilistic theory of pattern recognition. Springer.

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Estimating the Generalization Performance of an SVM.. - Thorsten Joachims Joachims   (Correct)

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Devroye, L., Gyorfi, L., & Lugosi, G. (1996). A probabilistic theory of pattern recognition. Springer.


The Maximum-Margin Approach to Learning Text Classifiers -.. - Joachims (2000)   (17 citations)  (Correct)

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Devroye, L., Gyor , L., and Lugosi, G. (1996). A Probabilistic Theory of Pattern Recognition. Springer.


Towards Formal Structural Representation of Spoken Language: An.. - Gutkin (2005)   (Correct)

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Devroye, L., Gyorfi, L., and Lugosi, G. (1996), A Probabilistic Theory of Pattern Recognition, vol. 31 of Stochastic Modelling and Applied Probability (Springer-Verlag).


Journal of Machine Learning Research 7 (2006) 645--664.. - Daniil Ryabko Daniil   (Correct)

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L. Devroye, L. Gy orfi, G. Lugosi, A Probabilistic Theory of Pattern Recognition. New York: Springer, 1996.


On the Flexibility of Theoretical Models - For Pattern Recognition   (Correct)

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L. Devroye, L. Gyorfi, G. Lugosi, A probabilistic theory of pattern recognition. New York: Springer, 1996.


Improved Risk Tail Bounds - For On-Line Algorithms   (Correct)

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L. Devroye, L. Gy orfi, and G. Lugosi. A Probabilistic Theory of Pattern Recognition. Springer Verlag, 1996.


Journal of Machine Learning Research 7 (2006).. - High-Dimensional..   (Correct)

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L. Devroye, L. Gy orfi, and G. Lugosi. A Probabilistic Theory of Pattern Recognition, Springer, 1996.


On Sample Complexity for Computational - Classification Problems Daniil   (Correct)

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L. Devroye, L. Gyorfi, G. Lugosi, A probabilistic theory of pattern recognition. New York: Springer, 1996.


Journal of Machine Learning Research 7 (2006) 817--854.. - And Related Algorithms   (Correct)

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L. Devroye, L. Gy orfi, and G. Lugosi. A Probabilistic Theory of Pattern Recognition, volume 31 of Applications of Mathematics. Springer, 1996.


Journal of Machine Learning Research 7 (2006) 665--704.. - Clayton Scott Cscott   (Correct)

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L. Devroye, L. Gy orfi, and G. Lugosi. A Probabilistic Theory of Pattern Recognition. Springer, New York, 1996.


Convexity, Classification, and Risk Bounds - Peter Bartlett Bartlett   (Correct)

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Devroye, L., Gyorfi, L., and Lugosi, G. (1996), A Probabilistic Theory of Pattern Recognition, Springer, New York.


Convexity, Classification, and Risk Bounds - Peter Bartlett Bartlett   (Correct)

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Devroye, L., Gyorfi, L., and Lugosi, G. (1996), A Probabilistic Theory of Pattern Recognition, Springer, New York.


A PAC-style Model for Learning from Labeled and Unlabeled Data - Balcan, Blum (2005)   (1 citation)  (Correct)

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L. Devroye, L. Gyorfi, and G. Lugosi. A Probabilistic Theory of Pattern Recognition. Springer-Verlag, 1996.


The Subspace Information Criterion for Infinite Dimensional.. - Sugiyama, al. (2002)   (Correct)

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L. Devroye, L. Gyorfi, and G. Lugosi. A Probabilistic Theory of Pattern Recognition. Number 31 in Applications of mathematics. Springer, New York, 1996.


Fast learning rates for plug-in classifiers under the.. - And Alexandre Tsybakov   (Correct)

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Devroye, L. , Gyorfi, L. and Lugosi, G. (1996). A Probabilistic Theory of Pattern Recognition. Springer, New York, Berlin, Heidelberg.


Learning Static Parallel Portfolios of Algorithms - Marek Petrik Petrik   (Correct)

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Devroye, L., Gyorfi, L., & Lugosi, G. (1996). A Probabilistic Theory of Pattern Recognition. Springer. Gomes, C., & Selman, B. (2001). Algorithm portolios. Artificial Intelligence, 126 (1-2), 43--62.


Bioinformatics Original Paper - Vol No Pages   (Correct)

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Devroye,L., Gyorfi,L. and Lugosi,G. (1996) A Probabilistic Theory of Pattern Recognition. Springer-Verlag, New York.


Structured Covariance Matrices for Statistical Image.. - Dahmen, Keysers, Pitz, .. (2000)   (1 citation)  (Correct)

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L. Devroye, L. Gyorfi, G. Lugosi, A Probabilistic Theory of Pattern Recognition, Springer, New York, 1996.


Review Article - Small Sample Issues   (Correct)

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Devroye L, Gyorfi L, Lugosi G. 1996. A Probabilistic Theory of Pattern Recognition. Springer-Verlag: New York.


Genomic Signal Processing: The Salient Issues - Dougherty, al. (2004)   (Correct)

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L. Devroye, L. Gyorfi, and G. Lugosi, A Probabilistic Theory of Pattern Recognition,Springer-Verlag,NewYork,NY,USA, 1996.


Semi-supervised Learning of Classifiers: Theory.. - Cohen, Cozman..   (Correct)

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L. Devroye, L. Gyorfi, and G. Lugosi, A Probabilistic Theory of Pattern Recognition. New York: Springer Verlag, 1996.


Properties and Benefits of Calibrated Classifiers - Cohen, Goldszmidt (2004)   (1 citation)  (Correct)

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Devroye, L., Gyorfi, L., Lugosi, G.: A Probabilistic Theory of Pattern Recognition. Springer Verlag, New York (1996)


Properties and Benefits of Calibrated Classifiers - Cohen, Goldszmidt (2004)   (1 citation)  (Correct)

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Devroye, L., Gyorfi, L., Lugosi, G.: A Probabilistic Theory of Pattern Recognition. Springer Verlag, New York (1996)


Dyadic Classification Trees via Structural Risk Minimization - Scott, Nowak (2002)   (2 citations)  (Correct)

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L. Devroye, L. Gyorfi, and G. Lugosi, A Probabilistic Theory of Pattern Recognition, Springer, New York, 1996.


Fast and Accurate Handwritten Character Recognition.. - Perez-Cortes.. (2000)   (Correct)

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L. Devroye, L. Gyr, and G. Lugosi. A Probabilistic Theory of Pattern Recognition. Springer-Verlag., 1996.

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