2009 |
20 | EE | Bharath K. Sriperumbudur,
Arthur Gretton,
Kenji Fukumizu,
Gert R. G. Lanckriet,
Bernhard Schölkopf:
A note on integral probability metrics and $\phi$-divergences
CoRR abs/0901.2698: (2009) |
2008 |
19 | EE | Bharath K. Sriperumbudur,
Arthur Gretton,
Kenji Fukumizu,
Gert R. G. Lanckriet,
Bernhard Shoelkopf:
Injective Hilbert Space Embeddings of Probability Measures.
COLT 2008: 111-122 |
18 | EE | Bharath K. Sriperumbudur,
Omer A. Lang,
Gert R. G. Lanckriet:
Metric embedding for kernel classification rules.
ICML 2008: 1008-1015 |
17 | EE | Douglas Turnbull,
Luke Barrington,
D. Torres,
Gert R. G. Lanckriet:
Semantic Annotation and Retrieval of Music and Sound Effects.
IEEE Transactions on Audio, Speech & Language Processing 16(2): 467-476 (2008) |
2007 |
16 | EE | Antoni B. Chan,
Nuno Vasconcelos,
Gert R. G. Lanckriet:
Direct convex relaxations of sparse SVM.
ICML 2007: 145-153 |
15 | EE | Bharath K. Sriperumbudur,
David A. Torres,
Gert R. G. Lanckriet:
Sparse eigen methods by D.C. programming.
ICML 2007: 831-838 |
14 | EE | Douglas Turnbull,
Luke Barrington,
David A. Torres,
Gert R. G. Lanckriet:
Towards musical query-by-semantic-description using the CAL500 data set.
SIGIR 2007: 439-446 |
2006 |
13 | | Douglas Turnbull,
Luke Barrington,
Gert R. G. Lanckriet:
Modeling music and words using a multi-class naïve Bayes approach.
ISMIR 2006: 254-259 |
2004 |
12 | EE | Francis R. Bach,
Gert R. G. Lanckriet,
Michael I. Jordan:
Multiple kernel learning, conic duality, and the SMO algorithm.
ICML 2004 |
11 | EE | Alexandre d'Aspremont,
Laurent El Ghaoui,
Michael I. Jordan,
Gert R. G. Lanckriet:
A Direct Formulation for Sparse PCA Using Semidefinite Programming.
NIPS 2004 |
10 | EE | Gert R. G. Lanckriet,
Minghua Deng,
Nello Cristianini,
Michael I. Jordan,
William Stafford Noble:
Kernel-Based Data Fusion and Its Application to Protein Function Prediction in Yeast.
Pacific Symposium on Biocomputing 2004: 300-311 |
9 | EE | Gert R. G. Lanckriet,
Tijl De Bie,
Nello Cristianini,
Michael I. Jordan,
William Stafford Noble:
A statistical framework for genomic data fusion.
Bioinformatics 20(16): 2626-2635 (2004) |
8 | EE | Alexandre d'Aspremont,
Laurent El Ghaoui,
Michael I. Jordan,
Gert R. G. Lanckriet:
A direct formulation for sparse PCA using semidefinite programming
CoRR cs.CE/0406021: (2004) |
7 | EE | Gert R. G. Lanckriet,
Nello Cristianini,
Peter L. Bartlett,
Laurent El Ghaoui,
Michael I. Jordan:
Learning the Kernel Matrix with Semidefinite Programming.
Journal of Machine Learning Research 5: 27-72 (2004) |
2002 |
6 | | Gert R. G. Lanckriet,
Nello Cristianini,
Peter L. Bartlett,
Laurent El Ghaoui,
Michael I. Jordan:
Learning the Kernel Matrix with Semi-Definite Programming.
ICML 2002: 323-330 |
5 | EE | Gert R. G. Lanckriet,
Laurent El Ghaoui,
Michael I. Jordan:
Robust Novelty Detection with Single-Class MPM.
NIPS 2002: 905-912 |
4 | EE | Gert R. G. Lanckriet,
Laurent El Ghaoui,
Chiranjib Bhattacharyya,
Michael I. Jordan:
A Robust Minimax Approach to Classification.
Journal of Machine Learning Research 3: 555-582 (2002) |
3 | EE | Tony Van Gestel,
Johan A. K. Suykens,
Gert R. G. Lanckriet,
Annemie Lambrechts,
Bart De Moor,
Joos Vandewalle:
Bayesian Framework for Least-Squares Support Vector Machine Classifiers, Gaussian Processes, and Kernel Fisher Discriminant Analysis.
Neural Computation 14(5): 1115-1147 (2002) |
2 | | Tony Van Gestel,
Johan A. K. Suykens,
Gert R. G. Lanckriet,
Annemie Lambrechts,
Bart De Moor,
Joos Vandewalle:
Multiclass LS SVMs Moderated Outputs and Coding Decoding Schemes.
Neural Processing Letters 15(1): 45-58 (2002) |
2001 |
1 | EE | Gert R. G. Lanckriet,
Laurent El Ghaoui,
Chiranjib Bhattacharyya,
Michael I. Jordan:
Minimax Probability Machine.
NIPS 2001: 801-807 |