Department of Electrical and Computer Engineering
University of California, San Diego

5604 EBU1
Mailcode 0407
La Jolla, CA 92093-0407
USA
Fax: + 1 858 534-6976
Phone: + 1 858 539-6003

PUBLICATIONS

2015

Ellis, K., Kerr, J., Godbole, S., Lanckriet, G.R.G., Wing, D., Marshall, S. (2014). A Random Forest Classifier for the Prediction of Energy Expenditure and Type of Physical Activity from Wrist and Hip Accelerometers. Physiological measurement, Vol. 35(11), pp. 2191-2203.

Lim, D., McAuley, J., Lanckriet, G.R.G. (2015). Top-N Recommendation with Missing Implicit Feedback. Proceedings of the 9th ACM Conference on Recommender Systems, Vienna, Austria.

Kalyanam, J., Velupillai, S., Doan, S., Conway, M., Lanckriet, G.R.G. (2015). Facts and Fabrications about Ebola: A Twitter Based Study. Workshop on Connected Health in Big Data Era (BigCHat), 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Sydney, Australia.

Kalyanam, J., Mantrach, A., Saez-Trumper, D., Vahabi, H., Lanckriet, G.R.G. (2015). Leveraging Social Context for Modeling Topic Evolution. Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Sydney, Australia.

Mumtaz, A., Coviello, E., Lanckriet, G.R.G., Chan, A.B. (2015). A Scalable and Accurate Descriptor for Dynamic Textures using Bag of System Trees. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 37, pp. 697-712.

Lin, A., Huynh, A, Lanckriet, G.R.G., Barrington, L. (2015) Crowdsourcing the Unknown: The Satellite Search for Genghis Khan. PLoS ONE 9(12): e114046. doi:10.1371/journal.pone.0114046.

2014

Ellis, K., Godbole, S., Kerr, J., Lanckriet, G.R.G. (2014). Multi-Sensor Physical Activity Recognition in Free-Living. Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: AwareCast Workshop, pp. 431-440.

Vaizman, Y., McFee, B., Lanckriet, G.R.G. (2014). Codebook-Based Audio Feature Representation for Music Information Retrieval. IEEE/ACM Transactions on Audio, Speech and Language Processing, Vol. 22, pp. 1483-1493.

Ellis, K., Godbole, S., Marshall, S., Lanckriet, G.R.G., Staudenmayer, J., Kerr, J. (2014). Identifying Active Travel Behaviors in Challenging Environments using GPS, Accelerometers and Machine Learning Algorithms. Frontiers in Public Health, Vol. 2, pp. 1-8.

Lim, D., Lanckriet, G.R.G. (2014). Efficient Learning of Mahalanobis Metrics for Ranking. Proceedings of the 31st International Conference on Machine Learning, Beijing, China. (supplementary material)

Galleguillos, C., McFee, B., Lanckriet, G.R.G. (2014). Iterative category discovery via multiple kernel metric learning. International Journal of Computer Vision, Volume 108, Issue 1-2, pp. 115-132.

Kalyanam, J., Lanckriet, G.R.G. (2014). Learning from Unstructured Multimedia Data. Proceedings of the 23rd International Conference on World Wide Web, Seoul, Korea.

Costa Pereira, J., Coviello, E., Doyle, G., Rasiwasia, N., Lanckriet, G.R.G., Levy, R., Vasconcelos, N. (2014). On the Role of Correlation and Abstraction in Cross-Modal Multimedia Retrieval. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 36, pp. 521-535.

Lin, A.Y.M., Huynh, A., Barrington, L., Lanckriet, G.R.G. (2014). Search and Discovery in Human Computation. In Handbook of Human Computation, Springer, New York, pp. 171-186.

Coviello, E., Chan, A.B., Lanckriet, G.R.G. (2014). Clustering Hidden Markov Models with Variational HEM. Journal of Machine Learning Research, Vol. 15, pp. 697-747.

2013

Ellis, K., Godbole, S., Chen, J., Marshall, S., Lanckriet, G.R.G., Kerr, J. (2013). Physical activity recognition in free-living from body-worn sensors. In Proceedings of the 4th International SenseCam & Pervasive Imaging Conference, San Diego, CA.

Ellis, K., Kerr, J., Godbole, S., Lanckriet, G.R.G., Staudenmayer, J., Wing, D., Marshall, S. (2013). Machine Learning to Predict Energy Expenditure and Type of Physical Activity from Accelerometer and Heart Rate Data. ICAMPAM, Amherst, MA.

Ellis, K., Coviello, E., Chan, A.B., Lanckriet, G.R.G. (2013). A Bag of Systems Representation for Music Auto-tagging. IEEE Transactions on Audio, Speech and Language Processing, Vol. 21, pp. 2554-2569.

Coviello, E., Mumtaz, A., Chan, A.B., Lanckriet, G.R.G. (2013). That was fast! Speeding up NN search of high dimensional distributions. Proceedings of the 30th International Conference on Machine Learning, Atlanta, GA.

Lim, D., McFee, B., Lanckriet, G.R.G. (2013). Robust Structural Metric Learning. Proceedings of the 30th International Conference on Machine Learning, Atlanta, GA.

Mumtaz, A., Coviello, E., Lanckriet, G.R.G., Chan, A.B. (2013). Clustering Dynamic Textures with the Hierarchical EM Algorithm for Modeling Video. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 35, pp. 1606-1621.

2012

Coviello, E., Chan, A., Lanckriet, G.R.G. (2012). The Variational Hierarchical EM Algorithm for Clustering Hidden Markov Models. Advances in Neural Information Processing Systems 25, Cambridge, MA: MIT Press.

Kedem, D., Tyree, S., Weinberger, K., Sha, F., Lanckriet, G.R.G. (2012). Non-linear Metric Learning. Advances in Neural Information Processing Systems 25, Cambridge, MA: MIT Press.

Sriperumbudur Vangeepuram, B., Fukumizu, K., Gretton, A., Schölkopf, B., Lanckriet, G.R.G. (2012). On the Empirical Estimation of Integral Probability Metrics. Electronic Journal of Statistics, Vol. 6, pp. 1550-1599.

McFee, B., Lanckriet, G.R.G. (2012). Hypergraph Models of Playlist Dialects. Proceedings of the 13th International Conference on Music Information Retrieval, Porto, Portugal.

Coviello, E., Vaizman, Y., Chan, A., Lanckriet, G.R.G. (2012). Multivariate Autoregressive Mixture Models for Music Auto-tagging. Proceedings of the 13th International Conference on Music Information Retrieval, Porto, Portugal.

Sriperumbudur Vangeepuram, B., Lanckriet, G.R.G. (2012). A Proof of Convergence of the Concave-Convex Procedure Using Zangwill's Theory. Neural Computation, Vol. 24, pp. 1391-1407.

McFee, B., Lanckriet, G.R.G. (2012). Learning Content Similarity for Music Recommendation. IEEE Transactions on Audio, Speech and Language Processing, Vol. 20, pp. 2207-2218.

Coviello, E., Mumtaz, A., Chan, A. B., Lanckriet, G.R.G. (2012). Growing a Bag of Systems Tree for Fast and Accurate Classification. Proceedings of the 25th IEEE International Conference on Computer Vision and Pattern Recognition, Providence, RI.

Barrington, L., Turnbull, D., Lanckriet, G.R.G. (2012). Game-Powered Machine Learning. Proceedings of the National Academy of Sciences, Vol. 109, pp. 6411-6416. (Supporting Information) (Herd It game)

McFee, B., Bertin-Mahieux, T., Ellis, D.P.W., Lanckriet, G.R.G. (2012). The Million Song Dataset Challenge. Proceedings of the 4th International Workshop on Advances in Music Information Research (AdMIRe), Lyon, France.

Miotto, R., Lanckriet, G.R.G. (2012). A Generative Context Model for Semantic Music Annotation and Retrieval. IEEE Transactions on Audio, Speech and Language Processing, Vol. 20, pp. 1096-1108.

2011

Sriperumbudur Vangeepuram, B., Fukumizu, K., Lanckriet, G.R.G. (2011). Learning in Hilbert vs. Banach spaces: A measure embedding viewpoint. Advances in Neural Information Processing Systems 24, Cambridge, MA: MIT Press.

Sriperumbudur Vangeepuram, B., Torres, D., Lanckriet, G.R.G. (2011). A Majorization-Minimization Approach to the Sparse Generalized Eigenvalue Problem. Machine Learning, Vol. 85, pp. 3-39.

Sriperumbudur Vangeepuram, B., Fukumizu, K., Lanckriet, G.R.G. (2011). Universality, Characteristic Kernels and RKHS Embedding of Measures. Journal of Machine Learning Research, Vol. 12, pp. 2389-2410.

Ellis, K., Coviello, E., Lanckriet, G.R.G. (2011). Semantic Annotation and Retrieval of Music using a Bag of Systems Representation. Proceedings of the 12th International Conference on Music Information Retrieval, Miami, FL.

McFee, B., Lanckriet, G.R.G. (2011). The Natural Language of Playlists. Proceedings of the 12th International Conference on Music Information Retrieval, Miami, FL. (data)

McFee, B., Lanckriet, G.R.G. (2011). Large-scale Music Similarity Search with Spatial Trees. Proceedings of the 12th International Conference on Music Information Retrieval, Miami, FL.

Coviello, E., Miotto, R., Lanckriet, G.R.G. (2011). Combining Content-Based Auto-Taggers with Decision-Fusion. Proceedings of the 12th International Conference on Music Information Retrieval, Miami, FL.

Vaizman, Y., Granot, R.Y., Lanckriet, G.R.G. (2011). Modeling Dynamic Patterns for Emotional Content in Music. Proceedings of the 12th International Conference on Music Information Retrieval, Miami, FL.

Galleguillos, C., McFee, B., Belongie, S., Lanckriet, G.R.G. (2011). From Region Similarity to Category Discovery. Proceedings of the 24th IEEE International Conference on Computer Vision and Pattern Recognition, Colorado Springs, CO.

Coviello, E., Chan, A., Lanckriet, G.R.G. (2011). Time Series Models for Semantic Music Annotation. IEEE Transactions on Audio, Speech and Language Processing, Vol. 19, pp. 1343-1359.

McFee, B., Lanckriet, G.R.G. (2011). Learning Multi-modal Similarity. Journal of Machine Learning Research, Vol. 12, pp. 491-523.

McFee, B., Galleguillos, C., Lanckriet, G.R.G. (2011). Contextual Object Localization with Multiple Kernel Nearest Neighbor. IEEE Transactions on Image Processing, Vol. 20, pp. 570-585.

2010

Rasiwasia, N., Costa Pereira J., Coviello, E., Doyle, G., Lanckriet, G.R.G., Levy, R., Vasconcelos, N. (2010). A New Approach To Cross-Modal Multimedia Retrieval. Proceedings of the 18th ACM International Conference on Multimedia, Firenze, Italy.

McFee, B., Barrington, L., Lanckriet, G.R.G. (2010). Learning Similarity from Collaborative Filters. Proceedings of the 11th International Conference on Music Information Retrieval, Utrecht, The Netherlands.

Coviello, E., Chan, A., Barrington, L., Lanckriet, G.R.G. (2010). Automatic Music Tagging With Time Series Models. Proceedings of the 11th International Conference on Music Information Retrieval, Utrecht, The Netherlands.

Miotto, R., Barrington, L., Lanckriet, G.R.G. (2010). Improving Auto-Tagging by Modeling Semantic Co-Occurrences. Proceedings of the 11th International Conference on Music Information Retrieval, Utrecht, The Netherlands.

Koenigstein, N., Lanckriet, G.R.G., McFee, B., Shavitt, Y. (2010). Collaborative Filtering based on P2P networks. Proceedings of the 11th International Conference on Music Information Retrieval, Utrecht, The Netherlands.

Sriperumbudur Vangeepuram, B., Gretton, A., Fukumizu, K., Schölkopf, B., Lanckriet, G.R.G. (2010). Hilbert Space Embeddings and Metrics on Probability Measures. Journal of Machine Learning Research, Vol. 11, pp. 1517-1561.

McFee, B., Lanckriet, G.R.G. (2010). Metric Learning to Rank. Proceedings of the 27th International Conference on Machine Learning, Haifa, Israel. (code and data)

Sriperumbudur Vangeepuram, B., Fukumizu, K., Gretton, A., Schölkopf, B., Lanckriet, G.R.G. (2010). Non-parametric Estimation of Integral Probability Metrics. Proceedings of the 2010 IEEE International Symposium on Information Theory, Austin, TX.

Chan, A. B., Coviello, E., Lanckriet, G.R.G. (2010). Clustering Dynamic Textures with the Hierarchical EM Algorithm. Proceedings of the 23rd IEEE International Conference on Computer Vision and Pattern Recognition, San Francisco, CA. (supplement)

Galleguillos, C., McFee, B., Belongie, S., Lanckriet, G.R.G. (2010). Multi-Class Object Localization by Combining Local Contextual Interactions. Proceedings of the 23rd IEEE International Conference on Computer Vision and Pattern Recognition, San Francisco, CA.

Sriperumbudur Vangeepuram, B., Fukumizu, K., Lanckriet, G.R.G. (2010). On the Relation between Universality, Characteristic Kernels and RKHS Embedding of Measures. Proceedings of the 13th International Conference on Artificial Intelligence and Statistics, Sardinia, Italy.

Barrington, L., Chan, A., Lanckriet, G.R.G. (2010). Modeling Music as a Dynamic Texture. IEEE Transactions on Audio, Speech and Language Processing, Vol. 18, pp. 602-612.

2009

Sriperumbudur Vangeepuram, B., Lanckriet, G.R.G. (2009) On the Convergence of the Concave-Convex Procedure. Advances in Neural Information Processing Systems 22, Cambridge, MA: MIT Press.

Sriperumbudur Vangeepuram, B., Gretton, A., Fukumizu, K., Lanckriet, G.R.G., Schölkopf, B. (2009) Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions. Advances in Neural Information Processing Systems 22, Cambridge, MA: MIT Press. (paper with supplemental material)

McFee, B., Lanckriet, G.R.G. (2009) Heterogeneous Embedding for Subjective Artist Similarity. Proceedings of the 10th International Conference on Music Information Retrieval, Kobe, Japan.

Barrington, L., Oda, R., Lanckriet, G.R.G. (2009) Smarter Than Genius? Human Evaluation of Music Recommender Systems. Proceedings of the 10th International Conference on Music Information Retrieval, Kobe, Japan.

Barrington, L., Turnbull, D., Yazdani, M., Lanckriet, G.R.G. (2009) Combining Audio Content and Social Context for Semantic Music Discovery. Proceedings of the 32nd Annual International ACM SIGIR Conference on Research & Development on Information Retrieval, Boston, MA.

McFee, B., Lanckriet, G.R.G. (2009) Partial Order Embedding with Multiple Kernels. Proceedings of the 26th International Conference on Machine Learning, Montreal, Canada.

Barrington, L., Chan, A. B., Lanckriet, G.R.G. (2009) Dynamic Texture Models of Music. Proceedings of the 34th International Conference on Acoustics, Speech, and Signal Processing, Taipei, Taiwan.

2008

Barrington, L., Yazdani, M., Turnbull, D., Lanckriet, G.R.G. (2008) Combining Feature Kernels for Semantic Music Retrieval. Proceedings of the 9th International Conference on Music Information Retrieval, Philadelphia, PA.

Turnbull, D., Barrington, L., Lanckriet, G.R.G. (2008) Five Approaches to Collecting Tags for Music. Proceedings of the 9th International Conference on Music Information Retrieval, Philadelphia, PA.

Sriperumbudur Vangeepuram, B., Gretton, A., Fukumizu, K., Lanckriet, G.R.G., Scholkopf, B. (2008). Injective Hilbert Space Embeddings of Probability Measures. Proceedings of the 21st Annual Conference on Learning Theory, Helsinki, Finland.

Sriperumbudur Vangeepuram, B., Lang, O., Lanckriet, G.R.G. (2008). Metric Embedding for Kernel Classification Rules. Proceedings of the 25th International Conference on Machine Learning, Helsinki, Finland.

Obozinski, G., Lanckriet, G.R.G., Grant, C.E., Jordan, M.I., Noble, W.S. (2008). Consistent Probabilistic Outputs for Protein Function Prediction. Genome Biology, Vol. 9(Suppl.1):S6. (Supplement on Methods, Supplementary Figures, Supplementary Data)

Pena-Castillo, L., et al. (2008). A Critical Assessment of M. Musculus Gene Function Prediction using Integrated Genomic Evidence. Genome Biology, Vol. 9(Suppl.1):S2.

Turnbull, D., Barrington, L., Torres, D., Lanckriet, G.R.G. (2008). Semantic Annotation and Retrieval of Music and Sound Effects. IEEE Transactions on Audio, Speech and Language Processing, Vol. 16, pp. 467-476.

2007

Torres, D., Turnbull, D., Barrington, L., Lanckriet, G.R.G. (2007). Identifying Words that are Musically Meaningful. Proceedings of the 8th International Conference on Music Information Retrieval, Vienna, Austria.

Turnbull, D., Liu, R., Barrington, L., Lanckriet, G.R.G. (2007). A Game-Based Approach for Collecting Semantic Annotations of Music. Proceedings of the 8th International Conference on Music Information Retrieval, Vienna, Austria.

Turnbull, D., Lanckriet, G.R.G., Pampalk, E., Goto, M. (2007). A Supervised Approach for Detecting Boundaries in Music using Difference Features and Boosting. Proceedings of the 8th International Conference on Music Information Retrieval, Vienna, Austria.

Sriperumbudur Vangeepuram, B., Torres, D., Lanckriet, G.R.G. (2007). Sparse Eigenmethods by D.C. Programming. Proceedings of the 24th International Conference on Machine Learning, Corvallis, OR.

Chan, A., Vasconcelos, N., Lanckriet, G.R.G. (2007). Direct Convex Relaxations of Sparse SVM. Proceedings of the 24th International Conference on Machine Learning, Corvallis, OR.

Turnbull, D., Barrington, L., Torres, D., Lanckriet, G.R.G. (2007). Towards Musical Query-by-Semantic-Description using the CAL500 Data Set. Proceedings of the 30th Annual International ACM SIGIR Conference on Research & Development on Information Retrieval, Amsterdam, The Netherlands.

d'Aspremont, A., El Ghaoui, L., Jordan, M.I., Lanckriet, G.R.G. (2007). A Direct Formulation for Sparse PCA using Semidefinite Programming. SIAM Review, vol. 49, pp. 434-448.

Barrington, L., Chan, A., Turnbull, D., Lanckriet, G.R.G. (2007). Audio Information Retrieval Using Semantic Similarity. Proceedings of the 32nd International Conference on Acoustics, Speech, and Signal Processing, Honolulu, Hawaii.

Agarwal, S., Wills, J., Cayton, L., Lanckriet, G.R.G., Kriegman, D., Belongie, S. (2007). Generalized Non-metric Multidimensional Scaling. Proceedings of the 11th International Conference on Artificial Intelligence and Statistics, San Juan, Puerto Rico.

2006

Turnbull, D., Barrington, L., Lanckriet, G.R.G. (2006). Modeling Music and Words using a Multi-class naive Bayes approach. Proceedings of the 7th International Conference on Music Information Retrieval, Victoria, Canada.

Dal Moro, F., Abate, A., Lanckriet, G.R.G., Arandjelovic, G., Gasparella, P., Bassi, P., Mancini, M., Pagano, F. (2006). A novel approach for accurate prediction of spontaneous passage of ureteral stones: Support vector machines. Kidney International, vol. 69, pp. 157-160.

2005

Natsoulis, G., El Ghaoui, L., Lanckriet, G.R.G., Tolley, A.M., Leroy, F., Dunlea, S., Eynon, B.P., Pearson, C.I., Tugendreich, S., Jarnagin, K. (2005). Classification of a large micro-array dataset. Algorithm comparison and analysis of drug signatures. Genome Research, vol. 15, pp. 724-736.

 

2004

d'Aspremont, A., El Ghaoui, L., Jordan, M.I., Lanckriet, G.R.G. (2004). A Direct Formulation for Sparse PCA using Semidefinite Programming . Advances in Neural Information Processing Systems 17, Cambridge, MA: MIT Press. [ DSPCA code ]

Lanckriet, G.R.G., De Bie, T., Cristianini, N. , Jordan, M.I., Noble, W.S. (2004). A statistical framework for genomic data fusion . Bioinformatics, 20, 2626-2635, 2004. [ supplementary information ]

Gwiggner, C., Lanckriet, G.R.G. (2004). Characteristics in flight data - Estimation with Logistic Regression and Support Vector Machines . Proceedings of the 1st International Conference on Research in Air Transportation (ICRAT), Zilina, Slovakia: Zilina University Press.

d'Aspremont, A., El Ghaoui, L., Jordan, M.I., Lanckriet, G.R.G. (2004). A Direct Formulation for Sparse PCA using Semidefinite Programming . Technical Report CSD-04-1330, Division of Computer Science, University of California, Berkeley.

Bach, F.R. & Lanckriet, G.R.G., Jordan, M.I. (2004). Multiple Kernel Learning, Conic Duality, and the SMO Algorithm. In Proceedings of the 21st International Conference on Machine Learning, Banff, Canada: Omnipress. [code can be found on Guillaume Obozinski's website (scroll to the bottom) ]

Bach, F.R. & Lanckriet, G.R.G., Jordan, M.I. (2004). Fast Kernel Learning using Sequential Minimal Optimization. Technical Report CSD-04-1307, Division of Computer Science, University of California, Berkeley.

Lanckriet, G.R.G., Cristianini, N., Bartlett, P., El Ghaoui, L., Jordan, M.I. (2004). Learning the Kernel Matrix with Semidefinite Programming . Journal of Machine Learning Research, Vol. 5, pp. 27-72.

2003

De Bie, T., Lanckriet, G.R.G., Cristianini, N. (2003). Convex Tuning of the Soft Margin Parameter . Technical Report CSD-03-1289, Division of Computer Science, University of California, Berkeley.

Lanckriet, G.R.G., Deng, M., Cristianini, N. , Jordan, M.I., Noble, W.S. (2004). Kernel-based Data Fusion and its Application to Protein Function Prediction in Yeast . In press: Proceedings of the Pacific Symposium on Biocomputing (PSB). [ supplementary information ]

El Ghaoui, L., Lanckriet, G.R.G., Natsoulis, G. (2003). Robust Classification with Interval Data . Technical Report CSD-03-1279, Division of Computer Science, University of California, Berkeley.

Lanckriet, G.R.G., Cristianini, N., Jordan, M.I., Noble, W.S. (2004). Kernel-based Integration of Genomic Data using Semidefinite Programming . In B. Schoelkopf, K. Tsuda and J.-P. Vert (Eds.), Kernel Methods in Computational Biology: MIT Press.

Lanckriet, G.R.G., De Bie, T., Cristianini, N., Jordan, M.I., Noble, W.S. (2003). A Framework for Genomic Data Fusion and its Application to Membrane Protein Prediction . Technical Report CSD-03-1273, Division of Computer Science, University of California, Berkeley.

2002

Lanckriet, G.R.G., El Ghaoui, L., Bhattacharyya, C., Jordan, M.I. (2002). A Robust Minimax Approach to Classification . Journal of Machine Learning Research, Vol. 3, pp. 555-582. [ matlab code, version 1.0 ]

Lanckriet, G.R.G., El Ghaoui, L., Bhattacharyya, C., Jordan, M.I. (2002). A Robust Minimax Approach to Classification . Technical Report CSD-02-1218, Division of Computer Science, University of California, Berkeley.

Lanckriet, G.R.G., Cristianini, N., Bartlett, P., El Ghaoui, L., Jordan, M.I. (2002). Learning the Kernel Matrix with Semi-Definite Programming . Technical Report CSD-02-1206, Division of Computer Science, University of California, Berkeley.

Lanckriet, G.R.G., El Ghaoui, L., Jordan, M.I. (2002). Robust Novelty Detection with Single-Class MPM . Advances in Neural Information Processing Systems 15, Cambridge, MA: MIT Press.

Lanckriet, G.R.G., Cristianini, N., Bartlett, P., El Ghaoui, L., Jordan, M.I. (2002). Learning the Kernel Matrix with Semidefinite Programming . In C. Sammut and A. Hoffmann (Eds.), Proceedings of the 19th International Conference on Machine Learning, Sydney, Australia: Morgan Kaufmann.

Lanckriet, G.R.G., El Ghaoui, L., Bhattacharyya, C., Jordan, M.I. (2002). Minimax Probability Machine . In T. Dietterich, S. Becker and Z. Ghahramani (Eds.), Advances in Neural Information Processing Systems 14, Cambridge, MA: MIT Press. [ matlab code, version 1.0 ]

Van Gestel, T., Suykens, J.A.K., Lanckriet, G.R.G. , Lambrechts, A., De Moor, B., Vandewalle, J. (2002). A Bayesian Framework for Least Squares Support Vector Machine Classifiers , Neural Computation, vol. 14, pp. 1115-1147.

Van Gestel, T., Suykens, J.A.K., Lanckriet, G.R.G., Lambrechts, A., De Moor, B., Vandewalle, J. (2002). Multiclass LS-SVMs: Moderated Outputs and Coding-Decoding Schemes, Neural Processing Letters , vol. 15, pp. 45-58.

2001

Van Gestel, T., Suykens, J.A.K., Lanckriet, G.R.G. , Lambrechts, A., Baestaens, D., De Moor, B., Vandewalle, J. (2001). Bayesian Interpretation of Least Squares Support Vector Machines for Financial Time Series Prediction. Proceedings of the 5th World Multi-Conference on Systemics, Cybernetics and Informatics , Vol. III, pp. 254-259, Orlando, Florida. Outstanding paper award.

Van Gestel, T., Suykens, J.A.K., Baestaens, D.-E., Lambrechts, A., Lanckriet, G.R.G., Vandaele, B., De Moor, B., Vandewalle J. (2001). Financial Time Series Prediction using Least Squares Support Vector Machines within the Evidence Framework, IEEE Transactions on Neural Networks (Special Issue on Financial Engineering) , vol. 12(4), pp. 809-821.