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1

An Introduction to Support Vector Machines and Other Kernel-based Learning Methods || Linear Learning Machines

Cristianini, Nello, Shawe-Taylor, John

Year:

2000

Language:

english

File:

PDF, 749 KB

english, 2000

2

An Introduction to Support Vector Machines and Other Kernel-based Learning Methods || Applications of Support Vector Machines

Cristianini, Nello, Shawe-Taylor, John

Year:

2000

Language:

english

File:

PDF, 798 KB

english, 2000

3

An Introduction to Support Vector Machines and Other Kernel-based Learning Methods || Pseudocode for the SMO Algorithm

Cristianini, Nello, Shawe-Taylor, John

Year:

2000

Language:

english

File:

PDF, 67 KB

english, 2000

4

Detection of fraud in mobile telecommunications

John Shawe-Taylor, Keith Howker, Peter Burge

Journal:

Information Security Technical Report

Year:

1999

Language:

english

File:

PDF, 256 KB

english, 1999

5

Machine Learning in Fine Wine Price Prediction

Yeo, Michelle, Fletcher, Tristan, Shawe-Taylor, John

Journal:

Journal of Wine Economics

Year:

2015

Language:

english

File:

PDF, 601 KB

english, 2015

6

Multiple Kernel Learning with Fisher Kernels for High Frequency Currency Prediction

Fletcher, Tristan, Shawe-Taylor, John

Journal:

Computational Economics

Year:

2013

Language:

english

File:

PDF, 626 KB

english, 2013

7

An Introduction to Support Vector Machines and Other Kernel-based Learning Methods || Notation

Cristianini, Nello, Shawe-Taylor, John

Year:

2000

Language:

english

File:

PDF, 38 KB

english, 2000

8

An Introduction to Support Vector Machines and Other Kernel-based Learning Methods || Background Mathematics

Cristianini, Nello, Shawe-Taylor, John

Year:

2000

Language:

english

File:

PDF, 285 KB

english, 2000

9

An Introduction to Support Vector Machines and Other Kernel-based Learning Methods || Optimisation Theory

Cristianini, Nello, Shawe-Taylor, John

Year:

2000

Language:

english

File:

PDF, 607 KB

english, 2000

10

An Unsupervised Neural Network Approach to Profiling the Behavior of Mobile Phone Users for Use in Fraud Detection

Peter Burge, John Shawe-Taylor

Journal:

Journal of Parallel and Distributed Computing

Year:

2001

Language:

english

File:

PDF, 193 KB

english, 2001

11

Bounding sample size with the Vapnik-Chervonenkis dimension

John Shawe-Taylor, Martin Anthony, N.L. Biggs

Journal:

Discrete Applied Mathematics

Year:

1993

Language:

english

File:

PDF, 431 KB

english, 1993

12

PAC-Bayesian Compression Bounds on the Prediction Error of Learning Algorithms for Classification

Thore Graepel, Ralf Herbrich, John Shawe-Taylor

Journal:

Machine Learning

Year:

2005

Language:

english

File:

PDF, 204 KB

english, 2005

13

Introducing the Special Issue of Machine Learning Selected from Papers Presented at the 1997 Conference on Computational Learning Theory, COLT '97

John Shawe-Taylor

Journal:

Machine Learning

Year:

1999

Language:

english

File:

PDF, 9 KB

english, 1999

14

Enlarging the Margins in Perceptron Decision Trees

Kristin P. Bennett, Nello Cristianini, John Shawe-Taylor, Donghui Wu

Journal:

Machine Learning

Year:

2000

Language:

english

File:

PDF, 151 KB

english, 2000

15

Linear Programming Boosting via Column Generation

Ayhan Demiriz, Kristin P. Bennett, John Shawe-Taylor

Journal:

Machine Learning

Year:

2002

Language:

english

File:

PDF, 391 KB

english, 2002

16

Canonical Correlation Analysis: An Overview with Application to Learning Methods

Hardoon, David R., Szedmak, Sandor, Shawe-Taylor, John

Journal:

Neural Computation

Year:

2004

Language:

english

File:

PDF, 715 KB

english, 2004

17

Estimating the Support of a High-Dimensional Distribution

Schölkopf, Bernhard, Platt, John C., Shawe-Taylor, John, Smola, Alex J., Williamson, Robert C.

Journal:

Neural Computation

Year:

2001

Language:

english

File:

PDF, 1.43 MB

english, 2001

18

[Academic Press Library in Signal Processing] Academic Press Library in Signal Processing: Volume 1 - Signal Processing Theory and Machine Learning Volume 1 || Kernel Methods and Support Vector Machines

Shawe-Taylor, John

Year:

2014

Language:

english

File:

PDF, 341 KB

english, 2014

19

[IEEE 2010 IEEE Radar Conference - Arlington, VA, USA (2010.05.10-2010.05.14)] 2010 IEEE Radar Conference - Compressed Sampling for pulse Doppler radar

Smith, Graeme E., Diethe, Tom, Hussain, Zakria, Shawe-Taylor, John, Hardoon, David R.

Year:

2010

Language:

english

File:

PDF, 1.21 MB

english, 2010

20

Probabilistic Bit Stream Neural Chip: Theory

SHAWE-TAYLOR, JOHN, JEAVONS, PETE, DAALEN, MAX VAN

Journal:

Connection Science

Year:

1991

Language:

english

File:

PDF, 362 KB

english, 1991

21

[Lecture Notes in Computer Science] Machine Learning and Knowledge Discovery in Databases Volume 5782 ||

Buntine, Wray, Grobelnik, Marko, Mladenić, Dunja, Shawe-Taylor, John

Year:

2009

Language:

english

File:

PDF, 19.56 MB

english, 2009

22

An Introduction to Support Vector Machines and Other Kernel-based Learning Methods || Kernel-Induced Feature Spaces

Cristianini, Nello, Shawe-Taylor, John

Year:

2000

Language:

english

File:

PDF, 1.12 MB

english, 2000

23

An Introduction to Support Vector Machines and Other Kernel-based Learning Methods || Generalisation Theory

Cristianini, Nello, Shawe-Taylor, John

Year:

2000

Language:

english

File:

PDF, 1.43 MB

english, 2000

24

An Introduction to Support Vector Machines and Other Kernel-based Learning Methods || Implementation Techniques

Cristianini, Nello, Shawe-Taylor, John

Year:

2000

Language:

english

File:

PDF, 1.18 MB

english, 2000

25

An Introduction to Support Vector Machines and Other Kernel-based Learning Methods || The Learning Methodology

Cristianini, Nello, Shawe-Taylor, John

Year:

2000

Language:

english

File:

PDF, 546 KB

english, 2000

26

An Introduction to Support Vector Machines and Other Kernel-based Learning Methods || Preface

Cristianini, Nello, Shawe-Taylor, John

Year:

2000

Language:

english

File:

PDF, 169 KB

english, 2000

27

A Balanced Route Design for Min-Max Multiple-Depot Rural Postman Problem (MMMDRPP): a police patrolling case

Chen, Huanfa, Cheng, Tao, Shawe-Taylor, John

Journal:

International Journal of Geographical Information Science

Year:

2017

Language:

english

File:

PDF, 2.54 MB

english, 2017

28

Classes of feedforward neural networks and their circuit complexity

John S. Shawe-Taylor, Martin H.G. Anthony, Walter Kern

Journal:

Neural Networks

Year:

1992

Language:

english

File:

PDF, 594 KB

english, 1992

29

Detection of fraud in mobile telecommunications

John Shawe-Taylor, Keith Howker, Peter Burge

Journal:

Information Security Technical Report

Year:

1999

Language:

english

File:

PDF, 1.44 MB

english, 1999

30

Detection of fraud in mobile telecommunications

John Shawe-Taylor, Keith Howker, Peter Burge

Journal:

Information Security Technical Report

Year:

1999

Language:

english

File:

PDF, 1.29 MB

english, 1999

31

Decomposing the tensor kernel support vector machine for neuroscience data with structured labels

David R. Hardoon, John Shawe-Taylor

Journal:

Machine Learning

Year:

2010

Language:

english

File:

PDF, 1.08 MB

english, 2010

32

Guest editors’ introduction: Special

Aleksander Kołcz, Dunja Mladenić, Wray Buntine, Marko Grobelnik, John Shawe-Taylor

Journal:

Machine Learning

Year:

2009

Language:

english

File:

PDF, 157 KB

english, 2009

33

Sparse canonical correlation analysis

David R. Hardoon, John Shawe-Taylor

Journal:

Machine Learning

Year:

2011

Language:

english

File:

PDF, 860 KB

english, 2011

34

Forecasting foreign exchange rates using kernel methods

Martin Sewell, John Shawe-Taylor

Journal:

Expert Systems with Applications

Year:

2012

Language:

english

File:

PDF, 534 KB

english, 2012

35

[Lecture Notes in Computer Science] Subspace, Latent Structure and Feature Selection Volume 3940 || Overview and Recent Advances in Partial Least Squares

Saunders, Craig, Grobelnik, Marko, Gunn, Steve, Shawe-Taylor, John

Year:

2006

Language:

english

File:

PDF, 562 KB

english, 2006

36

[Lecture Notes in Computer Science] Machine Learning and Knowledge Discovery in Databases Volume 5781 || A Generic Approach to Topic Models

Buntine, Wray, Grobelnik, Marko, Mladenić, Dunja, Shawe-Taylor, John

Year:

2009

Language:

english

File:

PDF, 293 KB

english, 2009

37

[Lecture Notes in Computer Science] Advances in Intelligent Data Analysis VII Volume 4723 || DENCLUE 2.0: Fast Clustering Based on Kernel Density Estimation

R. Berthold, Michael, Shawe-Taylor, John, Lavrač, Nada

Year:

2007

Language:

english

File:

PDF, 489 KB

english, 2007

38

[IEEE 2013 IEEE 13th International Conference on Bioinformatics and Bioengineering (BIBE) - Chania, Greece (2013.11.10-2013.11.13)] 13th IEEE International Conference on BioInformatics and BioEngineering - Drug screening with Elastic-net multiple kernel learning

Pasupa, Kitsuchart, Hussain, Zakria, Shawe-Taylor, John, Willett, Peter

Year:

2013

Language:

english

File:

PDF, 110 KB

english, 2013

39

[Lecture Notes in Computer Science] Subspace, Latent Structure and Feature Selection Volume 3940 ||

Saunders, Craig, Grobelnik, Marko, Gunn, Steve, Shawe-Taylor, John

Year:

2006

Language:

english

File:

PDF, 2.85 MB

english, 2006

40

[Lecture Notes in Computer Science] Machine Learning and Knowledge Discovery in Databases Volume 5782 || Variational Graph Embedding for Globally and Locally Consistent Feature Extraction

Buntine, Wray, Grobelnik, Marko, Mladenić, Dunja, Shawe-Taylor, John

Year:

2009

Language:

english

File:

PDF, 319 KB

english, 2009

41

[Lecture Notes in Computer Science] Learning Theory Volume 3120 || Statistical Properties of Kernel Principal Component Analysis

Shawe-Taylor, John, Singer, Yoram

Year:

2004

Language:

english

File:

PDF, 241 KB

english, 2004

42

High-probability minimax probability machines

Cousins, Simon, Shawe-Taylor, John

Journal:

Machine Learning

Year:

2017

Language:

english

File:

PDF, 700 KB

english, 2017

43

Kernel Methods for Pattern Analysis || Basic kernels and kernel types

Shawe-Taylor, John, Cristianini, Nello

Year:

2004

Language:

english

File:

PDF, 403 KB

english, 2004

44

[Lecture Notes in Computer Science] Learning Theory Volume 3120 || The Budgeted Multi-armed Bandit Problem

Shawe-Taylor, John, Singer, Yoram

Year:

2004

Language:

english

File:

PDF, 102 KB

english, 2004

45

Interactional regions in cities: making sense of flows across networked systems

Kempinska, Kira, Longley, Paul, Shawe-Taylor, John

Journal:

International Journal of Geographical Information Science

Year:

2017

Language:

english

File:

PDF, 2.60 MB

english, 2017

46

A Tutorial on Canonical Correlation Methods

Uurtio, Viivi, Monteiro, João M., Kandola, Jaz, Shawe-Taylor, John, Fernandez-Reyes, Delmiro, Rousu, Juho

Journal:

ACM Computing Surveys

Year:

2017

Language:

english

File:

PDF, 629 KB

english, 2017

47

Natural language processing and machine learning algorithm to identify brain MRI reports with acute ischemic stroke

Kim, Chulho, Zhu, Vivienne, Obeid, Jihad, Lenert, Leslie, Shawe-Taylor, John

Journal:

Year:

2019

Language:

english

File:

PDF, 1.01 MB

english, 2019

48

Search for minimal trivalent cycle permutation graphs with girth nine

Tomaž Pisanski, John Shawe-Taylor

Journal:

Discrete Mathematics

Year:

1981

Language:

english

File:

PDF, 204 KB

english, 1981

49

Coverings of complete bipartite graphs and associated structures

John Shawe-Taylor

Journal:

Discrete Mathematics

Year:

1994

Language:

english

File:

PDF, 648 KB

english, 1994

50

Edge-colorability of graph bundles

Tomazˇ Pisanski, John Shawe-Taylor, Jozˇe Vrabec

Journal:

Journal of Combinatorial Theory, Series B

Year:

1983

Language:

english

File:

PDF, 452 KB

english, 1983