1. Guest Editorial: Learning from multiple sources

   • Nicolò Cesa-Bianchi
   • David R. Hardoon
   • Gayle Leen

   Editorial 23 February 2010 Pages: 1 - 3

2. Temporal kernel CCA and its application in multimodal neuronal data analysis

   • Felix Bießmann
   • Frank C. Meinecke
   • Klaus-Robert Müller

   OriginalPaper Open access 13 November 2009 Pages: 5 - 27

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

   • David R. Hardoon
   • John Shawe-Taylor

   OriginalPaper 09 December 2009 Pages: 29 - 46

4. Multi-view kernel construction

   • Virginia R. de Sa
   • Patrick W. Gallagher
   • Vicente L. Malave

   OriginalPaper Open access 13 November 2009 Pages: 47 - 71

5. Composite kernel learning

   • Marie Szafranski
   • Yves Grandvalet
   • Alain Rakotomamonjy

   OriginalPaper 14 October 2009 Pages: 73 - 103

6. A co-classification approach to learning from multilingual corpora

   • Massih-Reza Amini
   • Cyril Goutte

   OriginalPaper 29 October 2009 Pages: 105 - 121

7. Multi-domain learning by confidence-weighted parameter combination

   • Mark Dredze
   • Alex Kulesza
   • Koby Crammer

   OriginalPaper 03 October 2009 Pages: 123 - 149

8. A theory of learning from different domains

   • Shai Ben-David
   • John Blitzer
   • Jennifer Wortman Vaughan

   OriginalPaper Open access 23 October 2009 Pages: 151 - 175

9. Ensemble clustering using semidefinite programming with applications

   • Vikas Singh
   • Lopamudra Mukherjee
   • Jinhui Xu

   OriginalPaper 22 December 2009 Pages: 177 - 200

10. Infinite factorization of multiple non-parametric views

    • Simon Rogers
    • Arto Klami
    • Samuel Kaski

    OriginalPaper 13 November 2009 Pages: 201 - 226

11. Inductive transfer for learning Bayesian networks

    • Roger Luis
    • L. Enrique Sucar
    • Eduardo F. Morales

    OriginalPaper 22 December 2009 Pages: 227 - 255