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NIPS
2004
15 years 8 months ago
Unsupervised Variational Bayesian Learning of Nonlinear Models
In this paper we present a framework for using multi-layer perceptron (MLP) networks in nonlinear generative models trained by variational Bayesian learning. The nonlinearity is h...
Antti Honkela, Harri Valpola
ACL
2003
15 years 8 months ago
Parametric Models of Linguistic Count Data
It is well known that occurrence counts of words in documents are often modeled poorly by standard distributions like the binomial or Poisson. Observed counts vary more than simpl...
Martin Jansche
HCI
2007
15 years 8 months ago
Modeling Human Bipedal Navigation in a Dynamic Three Dimensional Virtual Environment
The current research sought to construct a computational model of human navigation for virtual three dimensional environments. The model was implemented within the ACT-R cognitive ...
Mark D. Thomas, Daniel W. Carruth, Bryan Robbins, ...
ACL
2003
15 years 8 months ago
An Improved Extraction Pattern Representation Model for Automatic IE Pattern Acquisition
Several approaches have been described for the automatic unsupervised acquisition of patterns for information extraction. Each approach is based on a particular model for the patt...
Kiyoshi Sudo, Satoshi Sekine, Ralph Grishman
EMNLP
2007
15 years 8 months ago
Bayesian Document Generative Model with Explicit Multiple Topics
In this paper, we proposed a novel probabilistic generative model to deal with explicit multiple-topic documents: Parametric Dirichlet Mixture Model(PDMM). PDMM is an expansion of...
Issei Sato, Hiroshi Nakagawa