A Combined Latent Class and Trait Model for the Analysis and Visualization of Discrete Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Bayesian parameter estimation via variational methods
Statistics and Computing
Probabilistic Non-linear Principal Component Analysis with Gaussian Process Latent Variable Models
The Journal of Machine Learning Research
Latent classification models for binary data
Pattern Recognition
Principal component analysis of binary data by iterated singular value decomposition
Computational Statistics & Data Analysis
Variational Bayesian mixture model on a subspace of exponential family distributions
IEEE Transactions on Neural Networks
A nonnegative blind source separation model for binary test data
IEEE Transactions on Circuits and Systems Part I: Regular Papers
A variational approximation for Bayesian networks with discrete and continuous latent variables
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
ICA-Based binary feature construction
ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
Gaussian Kullback-Leibler approximate inference
The Journal of Machine Learning Research
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