io-port.net

io-port 06031863 Hardoon, David R.; Shawe-Taylor, John

Sparse canonical correlation analysis. (English)

Mach. Learn. 83, No. 3, 331-353 (2011).

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io-port 06017767 Shawe-Taylor, John; Sun, Shiliang

A review of optimization methodologies in support vector machines. (English)

Neurocomputing 74, No. 17, 3609-3618 (2011).

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io-port 05988367 Kitching, Thomas; Balan, Sreekumar; Bernstein, Gary; Bethge, Matthias; Bridle, Sarah; Courbin, Frederic; Gentile, Marc; Heavens, Alan; Hirsch, Michael; Hosseini, Reshad; Kiessling, Alina; Amara, Adam; Kirk, Donnacha; Kuijken, Konrad; Mandelbaum, Rachel; Moghaddam, Baback; Nurbaeva, Guldariya; Paulin-Henriksson, Stephane; Rassat, Anais; Rhodes, Jason; Schölkopf, Bernhard; Shawe-Taylor, John; Gill, Mandeep; Shmakova, Marina; Taylor, Andy; Velander, Malin; Van Waerbeke, Ludovic; Witherick, Dugan; Wittman, David; Harmeling, Stefan; Heymans, Catherine; Massey, Richard; Rowe, Barnaby; Schrabback, Tim; Voigt, Lisa

Gravitational lensing accuracy testing 2010 (GREAT10) challenge handbook. (English)

Ann. Appl. Stat. 5, No. 3, 2231-2263 (2011).

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io-port 05929104 Hussain, Zakria; Shawe-Taylor, John

A note on improved loss bounds for multiple kernel learning. (English)

Comput. Res. Repos. 2011, Article No. 1106.6258 (2011).

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io-port 05923766 Seldin, Yevgeny; Cesa-Bianchi, Nicolò; Laviolette, François; Auer, Peter; Shawe-Taylor, John; Peters, Jan

PAC-Bayesian analysis of the exploration-exploitation trade-off. (English)

Comput. Res. Repos. 2011, Article No. 1105.4585 (2011).

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io-port 05923541 Seldin, Yevgeny; Laviolette, François; Shawe-Taylor, John; Peters, Jan; Auer, Peter

PAC-Bayesian analysis of martingales and multiarmed bandits. (English)

Comput. Res. Repos. 2011, Article No. 1105.2416 (2011).

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io-port 05887467 Głowacka, Dorota; Dorard, Louis; Medlar, Alan; Shawe-Taylor, John

Prior knowledge in learning finite parameter spaces. (English)

de Groote, Philippe (ed.) et al., Formal grammar. 14th international conference, FG 2009, Bordeaux, France, July 25‒26, 2009. Revised selected papers. Berlin: Springer (ISBN 978-3-642-20168-4/pbk). Lecture Notes in Computer Science 5591. Lecture Notes in Artificial Intelligence, 199-213 (2011).

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io-port 50170580 Hussain, Zakria; Shawe-Taylor, John

Improved loss bounds for multiple kernel learning (English)

Journal of Machine Learning Research - Proceedings Track 15, 370-377 (2011).

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io-port 50170599 Diethe, Tom; Balcázar, José L.; Shawe-Taylor, John; T{\^i}rnauca, Cristina

Preface (English)

Journal of Machine Learning Research - Proceedings Track 17, 1-4 (2011).

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io-port 50170799 Hall, Benjamin X.; Shawe-Taylor, John; Johnston, Alan

Employing the complete face in AVSR to recover from facial occlusions (English)

Journal of Machine Learning Research - Proceedings Track 17, 33-40 (2011).

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io-port 50378039 Hussain, Zakria; Shawe-Taylor, John; Hardoon, David R.; Dhanjal, Charanpal

Design and generalization analysis of orthogonal matching pursuit algorithms (English)

IEEE Transactions on Information Theory 57, No. 8, 5326-5341 (2011).

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io-port 06055570 Sun, Shiliang; Shawe-Taylor, John

Sparse semi-supervised learning using conjugate functions. (English)

J. Mach. Learn. Res. 11, 2423-2455 (2010).

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io-port 05803189 Hussain, Zakria; Leung, Alex P.; Pasupa, Kitsuchart; Hardoon, David R.; Auer, Peter; Shawe-Taylor, John

Exploration-exploitation of eye movement enriched multiple feature spaces for content-based image retrieval. (English)

Balcázar, José Luis (ed.) et al., Machine learning and knowledge discovery in databases. European conference, ECML PKDD 2010, Barcelona, Spain, September 20‒24, 2010. Proceedings, Part I. Berlin: Springer (ISBN 978-3-642-15879-7/pbk). Lecture Notes in Computer Science 6321. Lecture Notes in Artificial Intelligence, 554-569 (2010).

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io-port 05803175 Diethe, Tom; Hardoon, David Roi; Shawe-Taylor, John

Constructing nonlinear discriminants from multiple data views. (English)

Balcázar, José Luis (ed.) et al., Machine learning and knowledge discovery in databases. European conference, ECML PKDD 2010, Barcelona, Spain, September 20‒24, 2010. Proceedings, Part I. Berlin: Springer (ISBN 978-3-642-15879-7/pbk). Lecture Notes in Computer Science 6321. Lecture Notes in Artificial Intelligence, 328-343 (2010).

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io-port 05796854 Hardoon, David R.; Shawe-Taylor, John

Decomposing the tensor kernel support vector machine for neuroscience data with structured labels. (English)

Mach. Learn. 79, No. 1-2, 29-46 (2010).

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io-port 05795485 Shen, Yuan; Archambeau, Cedric; Cornford, Dan; Opper, Manfred; Shawe-Taylor, John; Barillec, Remi

A comparison of variational and Markov chain Monte Carlo methods for inference in partially observed stochastic dynamic systems. (English)

J. Signal Process. Syst. Signal Image Video Technol. 61, No. 1, 51-59 (2010).

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io-port 05794729 Higgs, Matthew; Shawe-Taylor, John

A PAC-Bayes bound for tailored density estimation. (English)

Hutter, Marcus (ed.) et al., Algorithmic learning theory. 21st international conference, ALT 2010, Canberra, Australia, October 6‒8, 2010. Proceedings. Berlin: Springer (ISBN 978-3-642-16107-0/pbk). Lecture Notes in Computer Science 6331. Lecture Notes in Artificial Intelligence, 148-162 (2010).

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io-port 05794727 Lever, Guy; Laviolette, François; Shawe-Taylor, John

Distribution-dependent PAC-Bayes priors. (English)

Hutter, Marcus (ed.) et al., Algorithmic learning theory. 21st international conference, ALT 2010, Canberra, Australia, October 6‒8, 2010. Proceedings. Berlin: Springer (ISBN 978-3-642-16107-0/pbk). Lecture Notes in Computer Science 6331. Lecture Notes in Artificial Intelligence, 119-133 (2010).

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io-port 50170684 Grünewälder, Steffen; Audibert, Jean-Yves; Opper, Manfred; Shawe-Taylor, John

Regret bounds for Gaussian process bandit problems (English)

Journal of Machine Learning Research - Proceedings Track 9, 273-280 (2010).

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io-port 50170762 Auer, Peter; Hussain, Zakria; Kaski, Samuel; Klami, Arto; Kujala, Jussi; Laaksonen, Jorma; Leung, Alex Po; Pasupa, Kitsuchart; Shawe-Taylor, John

Pinview: implicit feedback in content-based image retrieval (English)

Journal of Machine Learning Research - Proceedings Track 11, 51-57 (2010).

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