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NIPS
2004
15 years 7 months ago
Log-concavity Results on Gaussian Process Methods for Supervised and Unsupervised Learning
Log-concavity is an important property in the context of optimization, Laplace approximation, and sampling; Bayesian methods based on Gaussian process priors have become quite pop...
Liam Paninski
NIPS
2001
15 years 7 months ago
Latent Dirichlet Allocation
We describe latent Dirichlet allocation (LDA), a generative probabilistic model for collections of discrete data such as text corpora. LDA is a three-level hierarchical Bayesian m...
David M. Blei, Andrew Y. Ng, Michael I. Jordan
NIPS
2001
15 years 7 months ago
The g Factor: Relating Distributions on Features to Distributions on Images
We describe the g-factor which relates probability distributions on image features to distributions on the images themselves. The g-factor depends only on our choice of features a...
James M. Coughlan, Alan L. Yuille
VIIP
2001
15 years 7 months ago
Visualization Channels: Time Multiplexing on a Display
Large and complex information requires arbitrarily extensive displays for an exact, comprehensive visualization. This paper introduces a technique, time-multiplexing, for presenti...
Delbert Hart, Mihail Eduard Tudoreanu
ACL
1998
15 years 7 months ago
Information Classification and Navigation Based on 5W1H of the Target Information
This paper proposes a method by which 5WlH (who, when, where, what, why, how, and predicate) information is used to classify and navigate Japaneselanguage texts. 5WlH information,...
Takahiro Ikeda, Akitoshi Okumura, Kazunori Muraki