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IDA
2007
Springer
15 years 5 months ago
Compact and Understandable Descriptions of Mixtures of Bernoulli Distributions
Abstract. Finite mixture models can be used in estimating complex, unknown probability distributions and also in clustering data. The parameters of the models form a complex repres...
Jaakko Hollmén, Jarkko Tikka
90
Voted
EMNLP
2007
15 years 16 days 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
ICANN
2005
Springer
15 years 4 months ago
The Topographic Product of Experts
- In this paper, we show how a topographic mapping can be created from a product of experts. We learn the parameters of the mapping using gradient descent on the negative logarithm...
Colin Fyfe
74
Voted
ICPR
2006
IEEE
16 years 6 days ago
Competitive Mixtures of Simple Neurons
We propose a competitive finite mixture of neurons (or perceptrons) for solving binary classification problems. Our classifier includes a prior for the weights between different n...
Karthik Sridharan, Matthew J. Beal, Venu Govindara...
IUI
2009
ACM
15 years 8 months ago
An interface for targeted collection of common sense knowledge using a mixture model
We present a game-based interface for acquiring common sense knowledge. In addition to being interactive and entertaining, our interface guides the knowledge acquisition process t...
Robert Speer, Jayant Krishnamurthy, Catherine Hava...