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152
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ICML
2010
IEEE
15 years 6 months ago
2010
IEEE
Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and disc...
146
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ICML
2010
IEEE
15 years 5 months ago
2010
IEEE
We introduce the Spherical Admixture Model (SAM), a Bayesian topic model for arbitrary 2 normalized data. SAM maintains the same hierarchical structure as Latent Dirichlet Allocat...
141
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ICANN
2010
Springer
15 years 5 months ago
2010
Springer
We discuss the problem of overfitting of probabilistic neural networks in the framework of statistical pattern recognition. The probabilistic approach to neural networks provides a...
150
Voted
ICANN
2010
Springer
15 years 5 months ago
2010
Springer
Deep autoencoder networks have successfully been applied in unsupervised dimension reduction. The autoencoder has a "bottleneck" middle layer of only a few hidden units, ...
139
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CC
2010
Springer
15 years 5 months ago
2010
Springer
Abstract. We present an algorithm for counting the irreducible components of a complex algebraic variety defined by a fixed number of polynomials encoded as straight-line programs ...