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Properties of bethe free energies and message passing in gaussian models

Cseke, B. ; Heskes, T.

2011, Article / Letter to editor (The Journal of Artificial Intelligence Research, vol. 41, (2011), pp. 1-24)
Multi-Output Ranking for Automated Reasoning

Kühlwein, D.A.; Urban, J.; Tsivtsivadze, E.; Geuvers, H. ; Heskes, T.

2011, Article in monograph or in proceedings (KDIR : Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, pp. 42-51)
Semantic Graph Kernels for Automated Reasoning

Tsivtsivadze, E.; Urban, J.; Geuvers, H. ; Heskes, T.

2011, Article in monograph or in proceedings (Proceedings of the Eleventh SIAM International Conference on Data Mining, Mesa, Arizona, April 28 - 30, 2011, pp. 795-803)
On causal discovery with cyclic additive noise model

Mooij, J.M. ; Janzing, D.; Heskes, T. ; Schölkopf, B.

2011, Article in monograph or in proceedings (Shawe-Taylor, J. (ed.), Advances in Neural Information Processing Systems, pp. 639-647)
Proof supplement to: A logical characterization of constraint-based causal discovery

Claassen, T. ; Heskes, T.

2011, External research report
A structure independent algorithm for causal discovery

Claassen, T. ; Heskes, T.

2011, Article in monograph or in proceedings (19th European Symposium on Artificial Neural Networks, ESANN 2011; Brugge; 27 April 2011 through 29 April 2011, pp. 309-314)
Efficient Bayesian multivariate fMRI analysis using a sparsifying spatio-temporal prior

Gerven, M.A.J. van ; Cseke, B. ; Lange, F.P. de ; Heskes, T.

2010, Article / Letter to editor (NeuroImage, vol. 50, iss. 1, (2010), pp. 150-161)
Sparse orthonormalized partial least squares

Gerven, M.A.J. van ; Heskes, T.

2010, Article in monograph or in proceedings (BNAIC 2010 proceedings, pp. 1-7)
Co-Regularized Least-Squares for Label Ranking

Tsivtsivadze, E.; Pahikkala, T.; Boberg, J.; Salakoski, T.; Heskes, T.M.

2010, Part of book or chapter of book (Hüllermeier, E.; Fürnkranz, J. (ed.), Preference Learning, pp. 107-123)
Multi-task preference learning with an application to hearing aid personalization

Birlutiu, Adriana ; Groot, P. ; Heskes, T.

2010, Article / Letter to editor (Neurocomputing, vol. 73, iss. 7-9, (2010), pp. 1177-1185)
Sparse Preference Learning

Tsivtsivadze, E.; Heskes, T.

2010, Article in monograph or in proceedings (NIPS Workshop on Practical Application of Sparse Modeling: Open Issues and New Directions, 10 December, pp. 1-6)
Regularized Output Kernel Regression for protein-protein interaction prediction: application to link transfer and transduction

d'Alche, F.; Birlutiu, A. ; Brouard, C.; Heskes, T. ; Szafranski, M.

2010, Article in monograph or in proceedings (Machine Learning in Computational Biology (MLCB) 2010 : A NIPS 2010 workshop (Dec. 10 or 11), pp. 1-4)
Efficient Remote Homology Detection

Janssen, A.; Tsivtsivadze, E.; Boberg, J.; Dijkstra, T.M.H. ; Heskes, T.

2010, Article in monograph or in proceedings (Pattern Recognition in Bioinformatics : 5th IAPR International Conference, PRIB 2010, Nijmegen, The Netherlands, September 22-24, 2010, Proceedings)
Predicting Preference Judgments of Individual Normal and Hearing-Impaired Listeners With Gaussian Processes

Groot, P. ; Heskes, T. ; Dijkstra, T.M.H. ; Kates, J.M.

2010, Article / Letter to editor (IEEE Transactions on Audio, Speech, and Language Processing, vol. PP, iss. 99, (2010), pp. 1-11)
Improving posterior marginal approximations in latent Gaussian models

Cseke, B. ; Heskes, T.

2010, Article in monograph or in proceedings (Teh, Y.W.; Titterington, M. (ed.), JMLR: Workshop and Conference Proceedings, pp. 121-128)
Bayesian Monte Carlo for the global optimization of expensive functions

Groot, P. ; Birlutiu, Adriana ; Heskes, T.

2010, Part of book or chapter of book (ECAI 2010 - 19th European Conference on Artificial Intelligence, pp. 249-254)
Approximate marginals in latent Gaussian models

Cseke, B. ; Heskes, T.

2010, Article / Letter to editor (Journal of Machine Learning Research, vol. 12, iss. february, (2010), pp. 1-39)
Pattern Recognition in Bioinformatics : 5th IAPR International Conference, PRIB 2010, Nijmegen, The Netherlands, September 22-24, 2010. Proceedings

Dijkstra, T.M.H. ; Tsivtsivadze, E.; Marchiori, E. ; Heskes, T.

2010, Book (monograph)
Covert attention allows for continuous control of brain-computer interfaces

Bahramisharif, A. ; Gerven, M.A.J. van ; Heskes, T. ; Jensen, O.

2010, Article / Letter to editor (European Journal of Neuroscience, vol. 31, iss. 8, (2010), pp. 1501-1508)
Covert attention allows for continuous control of brain-computer interfaces

Bahramisharif, A. ; Gerven, M.A.J. van ; Heskes, T.M. ; Jensen, O.

2010, Article / Letter to editor (European Journal of Neuroscience, vol. 31, iss. 8, (2010), pp. 1501-1508)
Arrowhead completeness from minimal conditional independencies

Claassen, T. ; Heskes, T.

2010, External research report
Learning causal network structure from multiple (in)dependence models

Claassen, T. ; Heskes, T.

2010, Article in monograph or in proceedings (Myllymaki, P. (ed.), Proceedings of the Fifth European Workshop on Probabilistic Graphical Models (PGM-2010), pp. 81-88)
Causal discovery in multiple models from different experiments

Claassen, T. ; Heskes, T.

2010, Part of book or chapter of book (Lafferty, J.; Williams, C. (ed.), Advances in Neural Information Processing Systems, pp. 415-423)
Multi-Task Preference Learning with Gaussian Processes

Birlutiu, Adriana ; Groot, Perry; Heskes, Tom

2009, Article in monograph or in proceedings (Verleysen, Michel (ed.), ESANN'2009 proceedings, European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning. Bruges (Belgium), 22-24 April 2009, d-side publi., pp. 123-128)
Multi-Task Preference Learning with Gaussian Processes

Birlutiu, Adriana; Groot, Perry; Heskes, Tom

2009, Article in monograph or in proceedings (Calders, Toon; Tuyls, Karl; Pechenizkiy, Mykola (ed.), BNAIC 2009 : Benelux Conference on Artificial Intelligence, proceedings of the twenty-first Benelux Conference on Artificial Intelligence, Eindhoven, October 29-30, 2009, pp. 281-282)
Gene regulation in the intraerythrocytic cycle of Plasmodium falciparum

Jurgelenaite, R. ; Dijkstra, T.M.H. ; Kocken, C.H.M. ; Heskes, T.M.

2009, Article / Letter to editor (Bioinformatics, vol. 25, iss. 12, (2009), pp. 1484-1491)
Computers met Hersenen

Heskes, T.M.

2009, Lecture
Discussion of ``Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations'' by H. Rue, S. Martino and N. Chopin

Heskes, T.M. ; Cseke, B.

2009, Article / Letter to editor (Journal of the Royal Statistical Society Series B, vol. 71, iss. 2, (2009), pp. 370)
Kernel Principal Component Ranking: Robust Ranking on Noisy Data

Tsivtsivadze, E.; Cseke, B. ; Heskes, T.M.

2009, Article in monograph or in proceedings (Hüllermeier, E.; Fürnkranz, J. (ed.), Proceedings of the ECML/PKDD-Workshop on Preference Learning (PL-09), pp. 101-113)
Identification of Presynaptic Gene Clusters in Synaptic Signaling using Functional Data from Genetic Perturbation Studies in Hippocampal Autapses

Cornelisse, N.L.; Tsivtsivadze, E.; Meijer, Marieke; Dijkstra, T.M.H. ; Heskes, T.M. ; Verhage, M.

2009, Article in monograph or in proceedings (Segev, I. (ed.), Conference Abstract 2nd INCF Congress of Neuroinformatics, Frontiers in Neuroinformatics)
Selecting features for BCI control based on a covert spatial attention paradigm

Gerven, M.A.J. van ; Bahramisharif, A. ; Heskes, T. ; Jensen, O.

2009, Article / Letter to editor (Neural Networks, vol. 22, iss. 9, (2009), pp. 1271-1277)
Interpreting single trial data using groupwise regularisation

Gerven, M.A.J. van ; Hesse, C. ; Jensen, O. ; Heskes, T.M.

2009, Article / Letter to editor (NeuroImage, vol. 46, iss. 3, (2009), pp. 665-676)
Interpreting single trial data using groupwise regularisation

Gerven, M.A.J. van ; Hesse, C. ; Jensen, O. ; Heskes, T.

2009, Article / Letter to editor (NeuroImage, vol. 46, iss. 3, (2009), pp. 665-676)
Selecting features for BCI control based on a covert spatial attention paradigm

Gerven, M.A.J. van ; Bahramisharif, A. ; Heskes, T. ; Jensen, O.

2009, Article / Letter to editor (Neural Networks, vol. 22, (2009), pp. 1271-1277)
Bayesian Source Localization with the Multivariate Laplace Prior

Gerven, M.A.J. van ; Cseke, B. ; Oostenveld, R. ; Heskes, T.M.

2009, Article in monograph or in proceedings (Bengio, Y.; Schuurmans, D.; Lafferty, J. (ed.), Advances in Neural Information Processing Systems Annual Conference, pp. 1901-1909)
Exploring the impact of alternative feature representations on BCI classification

Bahramisharif, A. ; Gerven, M.A.J. van ; Heskes, T.M.

2009, Article in monograph or in proceedings (Proceedings of the European Symposium on Artificial Neural Networks, pp. 455-460)
L1/Lp regularization of Differences

Gerven, M.A.J. van ; Heskes, T.M.

2008, External research report
Stability Conditions for L1/Lp Regularization

Heskes, T.M. ; Gerven, M.A.J. van

2008, External research report
Bounds on the Bethe free energy for Gaussian networks

Cseke, B. ; Heskes, T.M.

2008, Article in monograph or in proceedings (McAllester, David A.; Myllymäki, Petri (ed.), UAI 2008, Proceedings of the 24th Conference in Uncertainty in Artificial Intelligence, pp. 97-104)
Learning symmetric causal independence models

Jurgelenaite, R. ; Heskes, T.M.

2008, Article / Letter to editor (Machine Learning, vol. 71, iss. 2-3, (2008), pp. 133-153)
Regulator discovery from gene expression time series of malaria parasites: a hierarchical approach

Hernández-Lobato, José Miguel; Dijkstra, T.M.H. ; Heskes, T.M.

2008, Article in monograph or in proceedings (Platt, J.C.; Koller, D.; Singer, Y. (ed.), Advances in Neural Information Processing Systems 20, Proceedings of the Twenty-First Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 3-6, 2007, pp. 649-656)
Nonlinear perception of hearing-impaired people using preference learning with Gaussian Processes

Groot, P.C. ; Heskes, Tom ; Dijkstra, T.M.H.

2008, External research report
Semi-blind identification of movement-related magnetoencephalogram components using a classification approach

Hesse, C.; Heskes, T.M. ; Jensen, O.

2008, Article in monograph or in proceedings (Engineering in Medicine and Biology Society, 2008. 30th Annual International Conference of the IEEE, Vancouver, Canada, pp. 2618-2621)
Using symmetric causal independence models to predict gene expression from sequence data

Jurgelenaite, R. ; Heskes, T.M. ; Dijkstra, T.

2007, Article in monograph or in proceedings (ECML--PKDD Workshop Data Mining in Functional Genomics and Proteomics: Current Trends and Future Directions, pp. 67-78)
Expectation Propagation for Rating Players in Sports Competitions

Birlutiu, Adriana; Heskes, Tom

2007, Article in monograph or in proceedings (11th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), pp. 374-381)
Learning and approximate inference in dynamic hierarchical models

Bakker, B.; Heskes, T.M.

2007, Article / Letter to editor (Computational Statistics & Data Analysis, vol. 52, iss. 2, (2007), pp. 821-839)
Haplotype Inference in General Pedigrees using the Cluster Variation Method

Albers, C.A. ; Heskes, T.M. ; Kappen, H.J.

2007, Article / Letter to editor (Genetics (Austin), vol. 177, (2007), pp. 1101-1116)
Haplotype inference in general pedigrees using the cluster variation method.

Albers, C.A. ; Heskes, T.M. ; Kappen, H.J.

2007, Article / Letter to editor (Genetics (Austin), vol. 177, iss. 2, (2007), pp. 1101-1116)
Predicting carcinoid heart disease with the noisy--threshold classifier

Gerven, M.A.J. van ; Jurgelenaite, R. ; Taal, B.G.; Heskes, T.M. ; Lucas, P.J.F.

2007, Article / Letter to editor (Artificial Intelligence in Medicine, vol. 40, iss. 1, (2007), pp. 45-55)
On the development of a brain--computer interface system using high--density magnetoencephalogram signals for real--time control of a robot arm

Hesse, C. ; Oostenveld, R. ; Heskes, T.M. ; Jensen, O.

2007, Article in monograph or in proceedings (Annual Symposium of the IEEE--EMBS Benelux Chapter)

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