Search results for "Tom Heskes"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
1	L. Niels Cornelisse, Evgeni Tsivtsivadze, Marieke Meijer, Tjeerd Dijkstra, Tom Heskes, Matthijs Verhage	Molecular Machines in the Synapse: Overlapping Protein Sets Control Distinct Steps in Neurosecretion.	PLoS Computational Biology	2012	DBLP DOI BibTeX RDF
1	Tom Claassen, Tom Heskes	A Logical Characterization of Constraint-Based Causal Discovery	CoRR	2012	DBLP BibTeX RDF
1	Marco Baglietto, Lubica Benusková, Ivo Bukovsky, Tianping Chen, Tom Heskes, Kazushi Ikeda, Fakhri Karray, Rhee Man Kil, Robert A. Legenstein, Jinhu Lu, Yunqian Ma, Malik Magdon-Ismail, Michael G. Paulin, Robi Polikar, Danil V. Prokhorov, Marco Wiering, Vicente Zarzoso	Editorial: One Year as EiC, and Editorial-Board Changes at TNN.	IEEE Transactions on Neural Networks	2011	DBLP DOI BibTeX RDF
1	Botond Cseke, Tom Heskes	Approximate Marginals in Latent Gaussian Models.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Marcel van Gerven, Peter Kok, Floris P. de Lange, Tom Heskes	Dynamic decoding of ongoing perception.	NeuroImage	2011	DBLP DOI BibTeX RDF
1	Jesse Alama, Daniel Kühlwein, Evgeni Tsivtsivadze, Josef Urban, Tom Heskes	Premise Selection for Mathematics by Corpus Analysis and Kernel Methods	CoRR	2011	DBLP BibTeX RDF
1	Botond Cseke, Tom Heskes	Properties of Bethe Free Energies and Message Passing in Gaussian Models.	J. Artif. Intell. Res. (JAIR)	2011	DBLP DOI BibTeX RDF
1	Perry Groot, Tom Heskes, Tjeerd Dijkstra, James M. Kates	Predicting Preference Judgments of Individual Normal and Hearing-Impaired Listeners With Gaussian Processes.	IEEE Transactions on Audio, Speech & Language Processing	2011	DBLP DOI BibTeX RDF
1	Daniel Kühlwein, Josef Urban, Evgeni Tsivtsivadze, Herman Geuvers, Tom Heskes	Multi-output Ranking for Automated Reasoning.	KDIR	2011	DBLP BibTeX RDF
1	Evgeni Tsivtsivadze, Josef Urban, Herman Geuvers, Tom Heskes	Semantic Graph Kernels for Automated Reasoning.	SDM	2011	DBLP BibTeX RDF
1	Daniel Kühlwein, Josef Urban, Evgeni Tsivtsivadze, Herman Geuvers, Tom Heskes	Learning2Reason.	Calculemus/MKM	2011	DBLP DOI BibTeX RDF
1	Marcel van Gerven, Eric Maris, Tom Heskes	A Markov Random Field Approach to Neural Encoding and Decoding.	ICANN	2011	DBLP DOI BibTeX RDF
1	Perry Groot, Adriana Birlutiu, Tom Heskes	Learning from Multiple Annotators with Gaussian Processes.	ICANN	2011	DBLP DOI BibTeX RDF
1	Tom Claassen, Tom Heskes	A structure independent algorithm for causal discovery.	ESANN	2011	DBLP BibTeX RDF
1	John A. Quinn, Joris M. Mooij, Tom Heskes, Michael Biehl	Learning of causal relations.	ESANN	2011	DBLP BibTeX RDF
1	Tom Claassen, Tom Heskes	A Logical Characterization of Constraint-Based Causal Discovery.	UAI	2011	DBLP BibTeX RDF
1	Joris M. Mooij, Dominik Janzing, Tom Heskes, Bernhard Schölkopf	On Causal Discovery with Cyclic Additive Noise Models.	NIPS	2011	DBLP BibTeX RDF
1	Botond Cseke, Tom Heskes	Improving posterior marginal approximations in latent Gaussian models.	Journal of Machine Learning Research - Proceedings Track	2010	DBLP BibTeX RDF
1	Marcel van Gerven, Floris P. de Lange, Tom Heskes	Neural Decoding with Hierarchical Generative Models.	Neural Computation	2010	DBLP DOI BibTeX RDF
1	Adriana Birlutiu, Perry Groot, Tom Heskes	Multi-task preference learning with an application to hearing aid personalization.	Neurocomputing	2010	DBLP DOI BibTeX RDF
1	Tom Heskes	Expectation Propagation.	Encyclopedia of Machine Learning	2010	DBLP DOI BibTeX RDF
1	Perry Groot, Adriana Birlutiu, Tom Heskes	Bayesian Monte Carlo for the Global Optimization of Expensive Functions.	ECAI	2010	DBLP BibTeX RDF
1	Tjeerd Dijkstra, Evgeni Tsivtsivadze, Elena Marchiori, Tom Heskes (eds.)	Pattern Recognition in Bioinformatics - 5th IAPR International Conference, PRIB 2010, Nijmegen, The Netherlands, September 22-24, 2010. Proceedings	PRIB	2010	DBLP DOI BibTeX RDF
1	Tom Claassen, Tom Heskes	Causal discovery in multiple models from different experiments.	NIPS	2010	DBLP BibTeX RDF
1	Rasa Jurgelenaite, Tjeerd Dijkstra, Clemens H. M. Kocken, Tom Heskes	Gene regulation in the intraerythrocytic cycle of Plasmodium falciparum.	Bioinformatics	2009	DBLP DOI BibTeX RDF
1	Marcel van Gerven, Ali Bahramisharif, Tom Heskes, Ole Jensen	Selecting features for BCI control based on a covert spatial attention paradigm.	Neural Networks	2009	DBLP DOI BibTeX RDF
1	Ali Bahramisharif, Marcel van Gerven, Tom Heskes	Exploring the impact of alternative feature representations on BCI classification.	ESANN	2009	DBLP BibTeX RDF
1	Adriana Birlutiu, Perry Groot, Tom Heskes	Multi-task Preference learning with Gaussian Processes.	ESANN	2009	DBLP BibTeX RDF
1	Marcel van Gerven, Botond Cseke, Robert Oostenveld, Tom Heskes	Bayesian Source Localization with the Multivariate Laplace Prior.	NIPS	2009	DBLP BibTeX RDF
1	Botond Cseke, Tom Heskes	Bounds on the Bethe Free Energy for Gaussian Networks.	UAI	2008	DBLP BibTeX RDF
1	Bart Bakker, Tom Heskes	Learning and approximate inference in dynamic hierarchical models.	Computational Statistics & Data Analysis	2007	DBLP DOI BibTeX RDF
1	Marcel van Gerven, Rasa Jurgelenaite, Babs G. Taal, Tom Heskes, Peter J. F. Lucas	Predicting carcinoid heart disease with the noisy-threshold classifier.	Artificial Intelligence in Medicine	2007	DBLP DOI BibTeX RDF
1	Adriana Birlutiu, Tom Heskes	Expectation Propagation for Rating Players in Sports Competitions.	PKDD	2007	DBLP DOI BibTeX RDF
1	José Miguel Hernández-Lobato, Tjeerd Dijkstra, Tom Heskes	Regulator Discovery from Gene Expression Time Series of Malaria Parasites: a Hierachical Approach.	NIPS	2007	DBLP BibTeX RDF
1	Onno Zoeter, Tom Heskes	Deterministic approximate inference techniques for conditionally Gaussian state space models.	Statistics and Computing	2006	DBLP DOI BibTeX RDF	Conditionally Gaussian state space models, Switching linear dynamical systems, Expectation propagation, Assumed density filtering, State space models, Approximate inference
1	Tom Heskes	Convexity Arguments for Efficient Minimization of the Bethe and Kikuchi Free Energies.	J. Artif. Intell. Res. (JAIR)	2006	DBLP DOI BibTeX RDF
1	Rasa Jurgelenaite, Tom Heskes	EM Algorithm for Symmetric Causal Independence Models.	ECML	2006	DBLP DOI BibTeX RDF
1	Rasa Jurgelenaite, Tom Heskes	Symmetric Causal Independence Models for Classification.	Probabilistic Graphical Models	2006	DBLP BibTeX RDF
1	Onno Zoeter, Tom Heskes	Change Point Problems in Linear Dynamical Systems.	Journal of Machine Learning Research	2005	DBLP BibTeX RDF
1	Alexander Ypma, Tom Heskes	Novel approximations for inference in nonlinear dynamical systems using expectation propagation.	Neurocomputing	2005	DBLP DOI BibTeX RDF
1	Rasa Jurgelenaite, Peter J. F. Lucas, Tom Heskes	Use of the Noisy Threshold Function in Building Bayesian Networks.	BNAIC	2005	DBLP BibTeX RDF
1	Tom Heskes, Bert de Vries	Incremental Utility Elicitation for Adaptive Personalization.	BNAIC	2005	DBLP BibTeX RDF
1	Onno Zoeter, Tom Heskes	Gaussian Quadrature Based Expectation Propagation.	BNAIC	2005	DBLP BibTeX RDF
1	Tom Heskes	On the Uniqueness of Loopy Belief Propagation Fixed Points.	Neural Computation	2004	DBLP DOI BibTeX RDF
1	Alexander Ypma, Tom Heskes	Novel approximations for inference and learning in nonlinear dynamical systems.	ESANN	2004	DBLP BibTeX RDF
1	Onno Zoeter, Tom Heskes	Hierarchical Visualization of Time-Series Data Using Switching Linear Dynamical Systems.	IEEE Trans. Pattern Anal. Mach. Intell.	2003	DBLP DOI BibTeX RDF	switching linear dynamical systems, principal component analysis, time-series, Data visualization, latent variables, approximate inference
1	Bart Bakker, Tom Heskes	Task Clustering and Gating for Bayesian Multitask Learning.	Journal of Machine Learning Research	2003	DBLP BibTeX RDF
1	Bart Bakker, Tom Heskes	Clustering ensembles of neural network models.	Neural Networks	2003	DBLP DOI BibTeX RDF
1	Tom Heskes, Jan-Joost Spanjers, Bart Bakker, Wim Wiegerinck	Optimising newspaper sales using neural-Bayesian technology.	Neural Computing and Applications	2003	DBLP DOI BibTeX RDF	Neural networks, Bayesian inference, Time-series prediction, Multi-task learning, Feed forward
1	Onno Zoeter, Tom Heskes	Multi-scale Switching Linear Dynamical Systems.	ICANN	2003	DBLP DOI BibTeX RDF
1	Tom Heskes, Kees Albers, Bert Kappen	Approximate Inference and Constrained Optimization.	UAI	2003	DBLP BibTeX RDF
1	Tom Heskes, Onno Zoeter, Wim Wiegerinck	Approximate Expectation Maximization.	NIPS	2003	DBLP BibTeX RDF
1	Tom Heskes, Bart Bakker, Bert Kappen	Approximate algorithms for neural-Bayesian approaches.	Theor. Comput. Sci.	2002	DBLP DOI BibTeX RDF
1	Bart Bakker, Tom Heskes	Model Clustering for Neural Network Ensembles.	ICANN	2002	DBLP DOI BibTeX RDF
1	Wim Wiegerinck, Tom Heskes	IPF for Discrete Chain Factor Graphs.	UAI	2002	DBLP BibTeX RDF
1	Tom Heskes, Onno Zoeter	Expectation Propogation for Approximate Inference in Dynamic Bayesian Networks.	UAI	2002	DBLP BibTeX RDF
1	Wim Wiegerinck, Tom Heskes	Fractional Belief Propagation.	NIPS	2002	DBLP BibTeX RDF
1	Tom Heskes	Stable Fixed Points of Loopy Belief Propagation Are Local Minima of the Bethe Free Energy.	NIPS	2002	DBLP BibTeX RDF
1	Alexander Ypma, Tom Heskes	Automatic Categorization of Web Pages and User Clustering with Mixtures of Hidden Markov Models.	WEBKDD	2002	DBLP DOI BibTeX RDF	automatic categorization, data mining, clustering, hidden Markov models, user profiling, mixture models, Web usage mining, navigation patterns
1	Tom Heskes	Self-organizing maps, vector quantization, and mixture modeling.	IEEE Transactions on Neural Networks	2001	DBLP DOI BibTeX RDF
1	Tom Heskes	On "Natural" Learning and Pruning in Multilayered Perceptrons.	Neural Computation	2000	DBLP DOI BibTeX RDF
1	Piërre van de Laar, Tom Heskes	Input selection based on an ensemble.	Neurocomputing	2000	DBLP DOI BibTeX RDF
1	Jakob Vogdrup Hansen, Tom Heskes	General Bias/Variance Decomposition with Target Independent Variance of Error Functions Derived from the Exponential Family of Distributions.	ICPR	2000	DBLP DOI BibTeX RDF
1	Tom Heskes	Empirical Bayes for Learning to Learn.	ICML	2000	DBLP BibTeX RDF
1	Tom Heskes, Jan-Joost Spanjers, Wim Wiegerinck	EM Algorithms for Self-Organizing Maps.	IJCNN	2000	DBLP DOI BibTeX RDF
1	Piërre van de Laar, Tom Heskes, Stan C. A. M. Gielen	Partial Retraining: A New Approach to Input Relevance Determination.	Int. J. Neural Syst.	1999	DBLP DOI BibTeX RDF
1	Piërre van de Laar, Tom Heskes	Pruning Using Parameter and Neuronal Metrics.	Neural Computation	1999	DBLP DOI BibTeX RDF
1	Bart Bakker, Tom Heskes	Model clustering by deterministic annealing.	ESANN	1999	DBLP BibTeX RDF
1	Tom Heskes	Bias/Variance Decompositions for Likelihood-Based Estimators.	Neural Computation	1998	DBLP DOI BibTeX RDF
1	Tom Heskes	Solving a Huge Number of Similar Tasks: A Combination of Multi-Task Learning and a Hierarchical Bayesian Approach.	ICML	1998	DBLP BibTeX RDF
1	Piërre van de Laar, Tom Heskes, Stan C. A. M. Gielen	Task-Dependent Learning of Attention.	Neural Networks	1997	DBLP DOI BibTeX RDF
1	Piërre van de Laar, Stan C. A. M. Gielen, Tom Heskes	Input Selection with Partial Retraining.	ICANN	1997	DBLP DOI BibTeX RDF
1	Tom Heskes	Selecting Weighting Factors in Logarithmic Opinion Pools.	NIPS	1997	DBLP BibTeX RDF
1	Tom Heskes	Transition times in self-organizing maps.	Biological Cybernetics	1996	DBLP DOI BibTeX RDF
1	Tom Heskes	Practical Confidence and Prediction Intervals.	NIPS	1996	DBLP BibTeX RDF
1	Tom Heskes	Balancing Between Bagging and Bumping.	NIPS	1996	DBLP BibTeX RDF
1	Tom Heskes	Stochastics of on-line back-propagation.	ESANN	1994	DBLP BibTeX RDF
1	Tom Heskes, Stan C. A. M. Gielen	Retrieval of pattern sequences at variable speeds in a neural network with delays.	Neural Networks	1992	DBLP DOI BibTeX RDF

Publications of "Tom Heskes" ( http://dblp.L3S.de/Authors/Tom_Heskes )