The SCEAS System
Navigation Menu
Introduction
Collection Based
Clustering
Ranking
Paper Based
Journals
Conferences
DB Status
Statistics
Search

Search the dblp DataBase

Title:
Author:
Tom Heskes: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Onno Zoeter, Tom Heskes
    Gaussian Quadrature Based Expectation Propagation. [Citation Graph (0, 0)][DBLP]
    BNAIC, 2005, pp:407- [Conf]
  2. Tom Heskes, Bert de Vries
    Incremental Utility Elicitation for Adaptive Personalization. [Citation Graph (0, 0)][DBLP]
    BNAIC, 2005, pp:127-134 [Conf]
  3. Rasa Jurgelenaite, Peter J. F. Lucas, Tom Heskes
    Use of the Noisy Threshold Function in Building Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    BNAIC, 2005, pp:158-165 [Conf]
  4. Rasa Jurgelenaite, Tom Heskes
    EM Algorithm for Symmetric Causal Independence Models. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:234-245 [Conf]
  5. Bart Bakker, Tom Heskes
    Model clustering by deterministic annealing. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:87-92 [Conf]
  6. Alexander Ypma, Tom Heskes
    Novel approximations for inference and learning in nonlinear dynamical systems. [Citation Graph (0, 0)][DBLP]
    ESANN, 2004, pp:361-366 [Conf]
  7. Bart Bakker, Tom Heskes
    Model Clustering for Neural Network Ensembles. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:383-388 [Conf]
  8. Piërre van de Laar, Stan C. A. M. Gielen, Tom Heskes
    Input Selection with Partial Retraining. [Citation Graph (0, 0)][DBLP]
    ICANN, 1997, pp:469-474 [Conf]
  9. Onno Zoeter, Tom Heskes
    Multi-scale Switching Linear Dynamical Systems. [Citation Graph (0, 0)][DBLP]
    ICANN, 2003, pp:562-572 [Conf]
  10. Tom Heskes
    Empirical Bayes for Learning to Learn. [Citation Graph (0, 0)][DBLP]
    ICML, 2000, pp:367-374 [Conf]
  11. Tom Heskes
    Solving a Huge Number of Similar Tasks: A Combination of Multi-Task Learning and a Hierarchical Bayesian Approach. [Citation Graph (0, 0)][DBLP]
    ICML, 1998, pp:233-241 [Conf]
  12. Jakob Vogdrup Hansen, Tom Heskes
    General Bias/Variance Decomposition with Target Independent Variance of Error Functions Derived from the Exponential Family of Distributions. [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:2207-2210 [Conf]
  13. Tom Heskes, Jan-Joost Spanjers, Wim Wiegerinck
    EM Algorithms for Self-Organizing Maps. [Citation Graph (0, 0)][DBLP]
    IJCNN (6), 2000, pp:9-14 [Conf]
  14. Alexander Ypma, Tom Heskes
    Automatic Categorization of Web Pages and User Clustering with Mixtures of Hidden Markov Models. [Citation Graph (0, 0)][DBLP]
    WEBKDD, 2002, pp:35-49 [Conf]
  15. Tom Heskes
    Stable Fixed Points of Loopy Belief Propagation Are Local Minima of the Bethe Free Energy. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:343-350 [Conf]
  16. Tom Heskes
    Practical Confidence and Prediction Intervals. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:176-182 [Conf]
  17. Tom Heskes
    Balancing Between Bagging and Bumping. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:466-472 [Conf]
  18. Tom Heskes
    Selecting Weighting Factors in Logarithmic Opinion Pools. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  19. Tom Heskes, Onno Zoeter, Wim Wiegerinck
    Approximate Expectation Maximization. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  20. Wim Wiegerinck, Tom Heskes
    Fractional Belief Propagation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:438-445 [Conf]
  21. Tom Heskes, Kees Albers, Bert Kappen
    Approximate Inference and Constrained Optimization. [Citation Graph (0, 0)][DBLP]
    UAI, 2003, pp:313-320 [Conf]
  22. Tom Heskes, Onno Zoeter
    Expectation Propogation for Approximate Inference in Dynamic Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    UAI, 2002, pp:216-223 [Conf]
  23. Wim Wiegerinck, Tom Heskes
    IPF for Discrete Chain Factor Graphs. [Citation Graph (0, 0)][DBLP]
    UAI, 2002, pp:560-567 [Conf]
  24. Piërre van de Laar, Tom Heskes, Stan C. A. M. Gielen
    Partial Retraining: A New Approach to Input Relevance Determination. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 1999, v:9, n:1, pp:75-85 [Journal]
  25. Piërre van de Laar, Tom Heskes
    Input selection based on an ensemble. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2000, v:34, n:1-4, pp:227-238 [Journal]
  26. Alexander Ypma, Tom Heskes
    Novel approximations for inference in nonlinear dynamical systems using expectation propagation. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:69, n:1-3, pp:85-99 [Journal]
  27. Bart Bakker, Tom Heskes
    Task Clustering and Gating for Bayesian Multitask Learning. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:83-99 [Journal]
  28. Onno Zoeter, Tom Heskes
    Change Point Problems in Linear Dynamical Systems. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2005, v:6, n:, pp:1999-2026 [Journal]
  29. Tom Heskes, Jan-Joost Spanjers, Bart Bakker, Wim Wiegerinck
    Optimising newspaper sales using neural-Bayesian technology. [Citation Graph (0, 0)][DBLP]
    Neural Computing and Applications, 2003, v:12, n:3-4, pp:212-219 [Journal]
  30. Tom Heskes
    On "Natural" Learning and Pruning in Multilayered Perceptrons. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2000, v:12, n:4, pp:881-901 [Journal]
  31. Tom Heskes
    On the Uniqueness of Loopy Belief Propagation Fixed Points. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2004, v:16, n:11, pp:2379-2413 [Journal]
  32. Tom Heskes
    Bias/Variance Decompositions for Likelihood-Based Estimators. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1998, v:10, n:6, pp:1425-1433 [Journal]
  33. Piërre van de Laar, Tom Heskes
    Pruning Using Parameter and Neuronal Metrics. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1999, v:11, n:4, pp:977-993 [Journal]
  34. Bart Bakker, Tom Heskes
    Clustering ensembles of neural network models. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2003, v:16, n:2, pp:261-269 [Journal]
  35. Tom Heskes, Stan C. A. M. Gielen
    Retrieval of pattern sequences at variable speeds in a neural network with delays. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1992, v:5, n:1, pp:145-152 [Journal]
  36. Piërre van de Laar, Tom Heskes, Stan C. A. M. Gielen
    Task-Dependent Learning of Attention. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1997, v:10, n:6, pp:981-992 [Journal]
  37. Onno Zoeter, Tom Heskes
    Hierarchical Visualization of Time-Series Data Using Switching Linear Dynamical Systems. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2003, v:25, n:10, pp:1202-1214 [Journal]
  38. Tom Heskes, Bart Bakker, Bert Kappen
    Approximate algorithms for neural-Bayesian approaches. [Citation Graph (0, 0)][DBLP]
    Theor. Comput. Sci., 2002, v:287, n:1, pp:219-238 [Journal]
  39. Onno Zoeter, Tom Heskes
    Deterministic approximate inference techniques for conditionally Gaussian state space models. [Citation Graph (0, 0)][DBLP]
    Statistics and Computing, 2006, v:16, n:3, pp:279-292 [Journal]
  40. Adriana Birlutiu, Tom Heskes
    Expectation Propagation for Rating Players in Sports Competitions. [Citation Graph (0, 0)][DBLP]
    PKDD, 2007, pp:374-381 [Conf]
  41. Tom Heskes
    Convexity Arguments for Efficient Minimization of the Bethe and Kikuchi Free Energies. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 2006, v:26, n:, pp:153-190 [Journal]

  42. Bayesian Monte Carlo for the Global Optimization of Expensive Functions. [Citation Graph (, )][DBLP]


  43. Regulator Discovery from Gene Expression Time Series of Malaria Parasites: a Hierachical Approach. [Citation Graph (, )][DBLP]


  44. Symmetric Causal Independence Models for Classification. [Citation Graph (, )][DBLP]


  45. Bounds on the Bethe Free Energy for Gaussian Networks. [Citation Graph (, )][DBLP]


  46. Predicting carcinoid heart disease with the noisy-threshold classifier. [Citation Graph (, )][DBLP]


  47. Transition times in self-organizing maps. [Citation Graph (, )][DBLP]


  48. Gene regulation in the intraerythrocytic cycle of Plasmodium falciparum. [Citation Graph (, )][DBLP]


Search in 0.065secs, Finished in 0.067secs
NOTICE1
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
NOTICE2
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
 
Introduction Collection Based Clustering Ranking Paper Based Journals Conferences DB Status Statistics Search
System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002