Zakria Hussain

发表

Multiple Kernel Learning on the Limit Order Book

John Shawe-Taylor, Tristan Fletcher, Zakria Hussain, 2010, WAPA.

Revised Loss Bounds for the Set Covering Machine and Sample-Compression Loss Bounds for Imbalanced Data

John Shawe-Taylor, François Laviolette, Mario Marchand, 2007, J. Mach. Learn. Res..

A Note on Improved Loss Bounds for Multiple Kernel Learning pdf

John Shawe-Taylor, Zakria Hussain, J. Shawe-Taylor, 2011, ArXiv.

Using Generalization Error Bounds to Train the Set Covering Machine

John Shawe-Taylor, Zakria Hussain, J. Shawe-Taylor, 2007, ICONIP.

Design and Generalization Analysis of Orthogonal Matching Pursuit Algorithms

John Shawe-Taylor, David R. Hardoon, Charanpal Dhanjal, 2011, IEEE Transactions on Information Theory.

Pinview: Implicit Feedback in Content-Based Image Retrieval

Jorma Laaksonen, Alex Po Leung, John Shawe-Taylor, 2010, WAPA.

Support Vector Machine Model Selection Using Strangeness

John Shawe-Taylor, David R. Hardoon, Zakria Hussain, 2009 .

Description, analysis and evaluation of confidence estimation procedures for sub-categorisation

Jorma Laaksonen, John Shawe-Taylor, Kitsuchart Pasupa, 2009 .

Learning relevant eye movement feature spaces across users

John Shawe-Taylor, Kitsuchart Pasupa, Zakria Hussain, 2010, ETRA.

2010 IEEE RADAR CONFERENCE

Tom Diethe, John Shawe-Taylor, David R. Hardoon, 2010 .

Manifold-preserving graph reduction for sparse semi-supervised learning

Shiliang Sun, John Shawe-Taylor, Zakria Hussain, 2014, Neurocomputing.

Drug screening with Elastic-net multiple kernel learning

Kitsuchart Pasupa, John Shawe-Taylor, Peter Willett, 2013, 13th IEEE International Conference on BioInformatics and BioEngineering.

Description and evaluation of techniques for transfer learning across sub-categories

Jorma Laaksonen, Kitsuchart Pasupa, Gabriela Csurka, 2009 .

Matching Pursuit Kernel Fisher Discriminant Analysis

Tom Diethe, John Shawe-Taylor, David R. Hardoon, 2009, AISTATS.

Kernel Polytope Faces Pursuit

Tom Diethe, Zakria Hussain, 2009, ECML/PKDD.

Prediction with the SVM Using Test Point Margins

John Shawe-Taylor, Zakria Hussain, Süreyya Özögür-Akyüz, 2010, Data Mining.

Compressed Sampling for pulse Doppler radar

Tom Diethe, John Shawe-Taylor, Graeme E. Smith, 2010, 2010 IEEE Radar Conference.

Chapter 7 – Model Selection

John Shawe-Taylor, David R. Hardoon, Zakria Hussain, 2014 .

Improved Loss Bounds For Multiple Kernel Learning

John Shawe-Taylor, Zakria Hussain, J. Shawe-Taylor, 2011, AISTATS.

Exploration-Exploitation of Eye Movement Enriched Multiple Feature Spaces for Content-Based Image Retrieval

Alex Po Leung, John Shawe-Taylor, Kitsuchart Pasupa, 2010, ECML/PKDD.

Theory of matching pursuit

John Shawe-Taylor, Zakria Hussain, 2008, NIPS.

PicSOM Content-Based Information Retrieval System

Jorma Laaksonen, Alex Po Leung, Markus Koskela, 2009 .

A Nonconformity Approach to Model Selection for SVMs

John Shawe-Taylor, David R. Hardoon, Zakria Hussain, 2009 .

Basic metric learning

John Shawe-Taylor, Kitsuchart Pasupa, Craig Saunders, 2008 .

The Linear Programming Set Covering Machine

Zakria Hussain, 2004 .