Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Learning and relearning in Boltzmann machines
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Blind separation of sources, Part II: problems statement
Signal Processing
Connectionist learning of belief networks
Artificial Intelligence
Neural Computation
Graphical models for machine learning and digital communication
Graphical models for machine learning and digital communication
Learning nonlinear overcomplete representations for efficient coding
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
A hierarchical community of experts
Learning in graphical models
A Database for Handwritten Text Recognition Research
IEEE Transactions on Pattern Analysis and Machine Intelligence
Competition and multiple cause models
Neural Computation
Mean field theory for sigmoid belief networks
Journal of Artificial Intelligence Research
Principal Manifolds and Probabilistic Subspaces for Visual Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Transformation-Invariant Clustering Using the EM Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mixtures of Local Linear Subspaces for Face Recognition
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Lack of Consistency of Mean Field and Variational break Bayes Approximations for State Space Models
Neural Processing Letters
Variational learning for rectified factor analysis
Signal Processing
Building Blocks for Variational Bayesian Learning of Latent Variable Models
The Journal of Machine Learning Research
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