Sciweavers

2963 search results - page 124 / 593
» On Fitting Mixture Models
Sort
View
ICDM
2007
IEEE
184views Data Mining» more  ICDM 2007»
15 years 10 months ago
Bayesian Folding-In with Dirichlet Kernels for PLSI
Probabilistic latent semantic indexing (PLSI) represents documents of a collection as mixture proportions of latent topics, which are learned from the collection by an expectation...
Alexander Hinneburg, Hans-Henning Gabriel, Andr&eg...
ICANN
2010
Springer
15 years 4 months ago
Computational Properties of Probabilistic Neural Networks
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...
Jiri Grim, Jan Hora
117
Voted
ICASSP
2011
IEEE
14 years 8 months ago
MPtracker: A new multi-pitch detection and separation algorithm for mixed speech signals
We present MPtracker, a new algorithm for tracking and separating the pitch frequencies of two speakers from their mixture. The pitch frequencies are detected by introducing a nov...
Mohammad Hossein Radfar, Richard M. Dansereau, Wai...
ICDM
2010
IEEE
264views Data Mining» more  ICDM 2010»
15 years 2 months ago
Block-GP: Scalable Gaussian Process Regression for Multimodal Data
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression algori...
Kamalika Das, Ashok N. Srivastava
SADM
2010
196views more  SADM 2010»
14 years 11 months ago
Bayesian adaptive nearest neighbor
: The k nearest neighbor classification (k-NN) is a very simple and popular method for classification. However, it suffers from a major drawback, it assumes constant local class po...
Ruixin Guo, Sounak Chakraborty