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EM-Based Radial Basis Function Training with Partial Information
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Machine Learning for Computer Graphics: A Manifesto and Tutorial
PG '03 Proceedings of the 11th Pacific Conference on Computer Graphics and Applications
A Maximum-Likelihood Interpretation for Slow Feature Analysis
Neural Computation
Building Blocks for Variational Bayesian Learning of Latent Variable Models
The Journal of Machine Learning Research
Proceedings of the international workshop on Educational multimedia and multimedia education
Learning to Transform Time Series with a Few Examples
IEEE Transactions on Pattern Analysis and Machine Intelligence
Analytic moment-based Gaussian process filtering
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Dynamic Factor Graphs for Time Series Modeling
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
An EM Based Training Algorithm for Recurrent Neural Networks
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
On-line regression algorithms for learning mechanical models of robots: A survey
Robotics and Autonomous Systems
Long-Term prediction of time series using state-space models
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part II
Dynamic probabilistic CCA for analysis of affective behaviour
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VII
Probabilistic movement modeling for intention inference in human-robot interaction
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