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1

Elements of Causal Inference: Foundations and Learning Algorithms

Elements of Causal Inference: Foundations and Learning Algorithms

Jonas Peters, Dominik Janzing, Bernhard Schölkopf

Year:

2017

Language:

english

File:

PDF, 20.96 MB

5.0 / 5.0

english, 2017

2

因果推理：基础与学习算法

因果推理：基础与学习算法

机械工业出版社

Jonas Peters, Dominik Janzing, Bernhard Scholkopf, 李小和, 卢胜男, 程国建

Language:

chinese

File:

PDF, 76.88 MB

5.0 / 5.0

chinese

3

Semi-Supervised Learning

Semi-Supervised Learning

Olivier Chapelle, Bernhard Scholkopf, Alexander Zien

Year:

2006

Language:

english

File:

PDF, 3.74 MB

0 / 0

english, 2006

4

Handbook of Statistical Bioinformatics

Handbook of Statistical Bioinformatics

Springer-Verlag Berlin Heidelberg

Lei M. Li (auth.), Henry Horng-Shing Lu, Bernhard Schölkopf, Hongyu Zhao (eds.)

Year:

2011

Language:

english

File:

PDF, 8.67 MB

0 / 0

english, 2011

5

Elements of Causal Inference. Foundations and Learning Algorithms

Elements of Causal Inference. Foundations and Learning Algorithms

Jonas Peters, Dominik Janzing, Bernhard Scholkopf

Year:

2017

Language:

english

File:

PDF, 6.33 MB

5.0 / 4.0

english, 2017

6

Predicting Structured Data (Neural Information Processing)

Predicting Structured Data (Neural Information Processing)

Gökhan H. Bakir, Thomas Hofmann, Bernhard Schölkopf, Alexander J. Smola, Ben Taskar, S. V. N. Vishwa

Year:

2007

Language:

english

File:

PDF, 2.75 MB

0 / 0

english, 2007

7

Handbook of Statistical Bioinformatics

Handbook of Statistical Bioinformatics

Henry Horng-Shing Lu, Bernhard Schölkopf, Martin T. Wells, Hongyu Zhao

Year:

2022

Language:

english

File:

PDF, 10.14 MB

0 / 5.0

english, 2022

8

Elements of Causal Inference: Foundations and Learning Algorithms

Elements of Causal Inference: Foundations and Learning Algorithms

Jonas Peters, Dominik Janzing, Bernhard Scholkopf

Year:

2017

Language:

english

File:

EPUB, 12.29 MB

5.0 / 4.5

english, 2017

9

Advances in Neural Information Processing Systems 19: Proceedings of the 2006 Conference

Advances in Neural Information Processing Systems 19: Proceedings of the 2006 Conference

Bernhard Schölkopf (ed.), John Platt (ed.), Thomas Hofmann (ed.)

Year:

2007

Language:

english

File:

PDF, 125.09 MB

0 / 0

english, 2007

10

Semi-Supervised Learning

Semi-Supervised Learning

Olivier Chapelle, Bernhard Schölkopf, Alexander Zien

Year:

2006

Language:

english

File:

PDF, 8.36 MB

0 / 0

english, 2006

11

Kernel Methods in Computational Biology

Kernel Methods in Computational Biology

Bernhard Schölkopf, Koji Tsuda, Jean-Philippe Vert

Year:

2004

Language:

english

File:

PDF, 5.45 MB

0 / 0

english, 2004

12

Advances in Large-Margin Classifiers (Neural Information Processing)

Advances in Large-Margin Classifiers (Neural Information Processing)

A Bradford Book

Peter J. Bartlett, Bernhard Scholkopf, Dale Schuurmans, Alex J Smola

Year:

2000

Language:

english

File:

PDF, 4.22 MB

0 / 0

english, 2000

13

Elements of Causal Inference: Foundations and Learning Algorithms

Elements of Causal Inference: Foundations and Learning Algorithms

Jonas Peters & Dominik Janzing & Bernhard Scholkopf

Year:

2017

Language:

english

File:

PDF, 9.99 MB

0 / 0

english, 2017

14

Learning Theory and Kernel Machines: 16th Annual Conference on Learning Theory and 7th Kernel Workshop, COLT/Kernel 2003, Washington, DC, USA, August 24-27, 2003. Proceedings

Learning Theory and Kernel Machines: 16th Annual Conference on Learning Theory and 7th Kernel Workshop, COLT/Kernel 2003, Washington, DC, USA, August 24-27, 2003. Proceedings

Springer-Verlag Berlin Heidelberg

Michael L. Littman (auth.), Bernhard Schölkopf, Manfred K. Warmuth (eds.)

Year:

2003

Language:

english

File:

PDF, 15.92 MB

0 / 0

english, 2003

15

Elements of Causal Inference: Foundations and Learning Algorithms

Elements of Causal Inference: Foundations and Learning Algorithms

Jonas Peters & Dominik Janzing & Bernhard Scholkopf

Year:

2017

Language:

english

File:

EPUB, 12.29 MB

0 / 5.0

english, 2017

16

Predicting Structured Data (Neural Information Processing)

Predicting Structured Data (Neural Information Processing)

Gokhan H. Bakir, Thomas Hofmann, Bernhard Scholkopf, Alexander J. Smola, Ben Taskar, S. V. N. Vishwa

Year:

2007

Language:

english

File:

PDF, 2.75 MB

0 / 0

english, 2007

17

Handbook of Statistical Bioinformatics

Handbook of Statistical Bioinformatics

Henry Horng-Shing Lu, Bernhard Schölkopf, Martin T. Wells, Hongyu Zhao

Year:

2022

Language:

english

File:

PDF, 10.14 MB

0 / 0

english, 2022

18

Advances in Large-Margin Classifiers

Advances in Large-Margin Classifiers

Alexander J. Smola, Peter Bartlett, Bernhard Schölkopf, Dale Schuurmans

Year:

2000

Language:

english

File:

PDF, 12.48 MB

0 / 5.0

english, 2000

19

Elements of Causal Inference: Foundations and Learning Algorithms

Elements of Causal Inference: Foundations and Learning Algorithms

Jonas Peters & Dominik Janzing & Bernhard Scholkopf

Year:

2017

Language:

english

File:

EPUB, 12.29 MB

0 / 4.5

english, 2017

20

Elements of Causal Inference

Elements of Causal Inference

Jonas Peters, Dominik Janzing, Bernhard Scholkopf

Year:

2017

File:

LIT , 11.65 MB

0 / 0

2017

21

Advances in Large Margin Classifiers

Advances in Large Margin Classifiers

Alexander J. Smola, Peter Bartlett, Bernhard Schölkopf, Dale Schuurmans (Editors)

Year:

2000

Language:

english

File:

PDF, 2.27 MB

0 / 0

english, 2000

22

Elements of Causal Inference: Foundations and Learning Algorithms

Elements of Causal Inference: Foundations and Learning Algorithms

Jonas Peters & Dominik Janzing & Bernhard Scholkopf

Year:

2017

Language:

english

File:

AZW3 , 12.79 MB

0 / 0

english, 2017

23

Elements of Causal Inference: Foundations and Learning Algorithms

Elements of Causal Inference: Foundations and Learning Algorithms

Jonas Peters & Dominik Janzing & Bernhard Scholkopf

Year:

2017

Language:

english

File:

MOBI , 13.28 MB

0 / 0

english, 2017

24

Influence Estimation and Maximization in Continuous-Time Diffusion Networks

Influence Estimation and Maximization in Continuous-Time Diffusion Networks

MANUEL GOMEZ-RODRIGUEZ, LE SONG, NAN DU, and HONGYUAN ZHA, BERNHARD SCHOLKOPF

Language:

english

File:

PDF, 1.16 MB

0 / 0

english

25

Predicting Structured Data

Predicting Structured Data

Gökhan H. Bakir, Thomas Hofmann, Bernhard Schölkopf, Alexander J. Smola, Ben Taskar, S. V. N. Vishwanathan

Year:

2007

Language:

english

File:

PDF, 3.13 MB

0 / 0

english, 2007

26

Kernel Methods in Computational Biology

Kernel Methods in Computational Biology

Managing Director Of The Max Planck Institute For Biological Cybernetics In Tubingen Germany Profe Bernhard Scholkopf & Sorin Istrail & Pavel A. Pevzner

Year:

2004

Language:

english

File:

PDF, 5.45 MB

0 / 0

english, 2004

27

Elements of Causal Inference: Foundations and Learning Algorithms

Elements of Causal Inference: Foundations and Learning Algorithms

Jonas Peters & Dominik Janzing & Bernhard Scholkopf

Year:

2017

Language:

english

File:

FB2 , 15.98 MB

0 / 0

english, 2017

28

Elements of Causal Inference: Foundations and Learning Algorithms

Elements of Causal Inference: Foundations and Learning Algorithms

Bernhard Scholkopf

File:

LRF , 9.69 MB

0 / 0

29

Semi-Supervised Learning

Semi-Supervised Learning

Olivier Chapelle & Bernhard Schölkopf & Alexander Zien

Year:

2006

Language:

english

File:

PDF, 8.36 MB

0 / 0

english, 2006

30

Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning)

Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning)

Bernhard Schölkopf, Alexander J. Smola

Year:

2001

Language:

english

File:

PDF, 35.68 MB

0 / 0

english, 2001

31

Learning with kernels: support vector machines, regularization, optimization, and beyond

Learning with kernels: support vector machines, regularization, optimization, and beyond

Bernhard Schölkopf, Alexander J. Smola

Year:

2002

Language:

english

File:

PDF, 13.61 MB

0 / 0

english, 2002

32

Empirical Inference: Festschrift in Honor of Vladimir N. Vapnik

Empirical Inference: Festschrift in Honor of Vladimir N. Vapnik

Springer-Verlag Berlin Heidelberg

Léon Bottou (auth.), Bernhard Schölkopf, Zhiyuan Luo, Vladimir Vovk (eds.)

Year:

2013

Language:

english

File:

PDF, 3.79 MB

0 / 0

english, 2013

33

Learning with kernels: support vector machines, regularization, optimization and beyond

Learning with kernels: support vector machines, regularization, optimization and beyond

Schölkopf, Bernhard, Smola, Alexander J

Year:

2001

Language:

english

File:

PDF, 13.48 MB

0 / 3.0

english, 2001

34

Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond

Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond

Bernhard Schölkopf, Alexander J. Smola

Year:

2001

Language:

english

File:

DJVU, 8.65 MB

0 / 0

english, 2001

35

On Probabilistic Conditional Independence Structures

On Probabilistic Conditional Independence Structures

Springer-Verlag London

Milan Studený RNDr, DrSc (auth.), Michael Jordan, Jon Kleinberg, Bernhard Schölkopf, Frank P. Kelly, Ian Witten (eds.)

Year:

2005

Language:

english

File:

PDF, 1.81 MB

0 / 0

english, 2005

36

Pattern Recognition: 26th DAGM Symposium, Tübingen, Germany, August 30 - September 1, 2004. Proceedings

Pattern Recognition: 26th DAGM Symposium, Tübingen, Germany, August 30 - September 1, 2004. Proceedings

Springer-Verlag Berlin Heidelberg

Harald Steck, Tommi S. Jaakkola (auth.), Carl Edward Rasmussen, Heinrich H. Bülthoff, Bernhard Schölkopf, Martin A. Giese (eds.)

Year:

2004

Language:

english

File:

PDF, 13.57 MB

0 / 0

english, 2004

37

Learning with Kernels Support Vector Machines_Regularization Optimization and Beyond

Learning with Kernels Support Vector Machines_Regularization Optimization and Beyond

Bernhard Scholkopf Alexander J. Smola

Year:

2002

Language:

english

File:

PDF, 13.34 MB

0 / 4.5

english, 2002

38

Pattern Recognition: 26th DAGM Symposium, Tübingen, Germany, August 30 - September 1, 2004. Proceedings

Pattern Recognition: 26th DAGM Symposium, Tübingen, Germany, August 30 - September 1, 2004. Proceedings

Springer-Verlag Berlin Heidelberg

Harald Steck, Tommi S. Jaakkola (auth.), Carl Edward Rasmussen, Heinrich H. Bülthoff, Bernhard Schölkopf, Martin A. Giese (eds.)

Year:

2004

Language:

english

File:

PDF, 17.78 MB

0 / 0

english, 2004