Active Bibliography

2 An automated combination of sequence motif kernels for predicting protein subcellular localization – Alexander Zien, Cheng Soon Ong - 2006
Learning with Unlabeled Data – Xu Zenglin
9 An automated combination of kernels for predicting protein subcellular localization. – Cheng Soon Ong, Alexander Zien - 2007
Mathematical Programming for . . . – Ronny Luss - 2009
28 Optimal kernel selection in kernel Fisher discriminant analysis – Seung-jean Kim, Alessandro Magnani, Stephen Boyd - 2006
19 Multiple kernel learning algorithms – Mehmet Gönen, Ethem Alpaydın, Francis Bach - 2011
1 Learning to Integrate Data from Different Sources and Tasks – Andreas Argyriou - 2007
22 Multi-class Discriminant Kernel Learning via Convex Programming – Jieping Ye, Shuiwang Ji, Jianhui Chen, Isabelle Guyon, Amir Saffari
22 ℓp-norm multiple kernel learning – Marius Kloft, Ulf Brefeld, Sören Sonnenburg, Technische Universität, Alexander Zien, Francis Bach - 2011
9 Multiple Kernel Clustering – Bin Zhao, James T. Kwok, Changshui Zhang
Journal of Machine Learning Research X (2008) 1-34 Submitted 01/08; Revised 08/08; Published XX/XX – Alain Rakotomamonjy, Francis R. Bach, Stéphane Canu, Yves Grandvalet, Nello Cristianini
5 SimpleMKL – Alain Rakotomamonjy, Francis R. Bach, Stéphane Canu, Yves Grandvalet - 2008
Predicting Abnormal Returns From News Using Text Classification – Ronny Luss Alex - 2009
Similarity Spaces – Theodoros Damoulas, Yiming Ying, Mark A. Girolami, Colin Campbell, Sir Alwyn, Williams Buidling
Structural bioinformatics – Darrin P. Lewis, Tony Jebara, William Stafford Noble
Kernel-based – Tijl De Bie, Léon-charles Tranchevent, Liesbeth M. M. Van Oeffelen, Yves Moreau
Pages 1–9 Kernel-based data fusion for gene prioritization – Tijl De Bie A, Léon-charles Tranchevent C, Liesbeth Van Oeffelen, Moreau C, Esat-scd Kuleuven
Theoretical Foundations and Algorithms for . . . – Afshin Rostamizadeh - 2010
Transformation Learning Via Kernel Alignment – Andrew Howard, Tony Jebara