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» A Functional Model for Data Analysis
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NIPS
2001
15 years 8 months ago
Model Based Population Tracking and Automatic Detection of Distribution Changes
Probabilistic mixture models are used for a broad range of data analysis tasks such as clustering, classification, predictive modeling, etc. Due to their inherent probabilistic na...
Igor V. Cadez, Paul S. Bradley
EPIA
2003
Springer
15 years 12 months ago
Evolutionary Neuroestimation of Fitness Functions
Abstract. One of the most influential factors in the quality of the solutions found by an evolutionary algorithm is the appropriateness of the fitness function. Specifically in ...
Jesús S. Aguilar-Ruiz, Daniel Mateos, Domin...
CORR
2006
Springer
98views Education» more  CORR 2006»
15 years 6 months ago
Bayesian Regression of Piecewise Constant Functions
We derive an exact and efficient Bayesian regression algorithm for piecewise constant functions of unknown segment number, boundary location, and levels. It works for any noise an...
Marcus Hutter
SCALESPACE
2007
Springer
16 years 25 days ago
On the Statistical Interpretation of the Piecewise Smooth Mumford-Shah Functional
In region-based image segmentation, two models dominate the field: the Mumford-Shah functional and statistical approaches based on Bayesian inference. Whereas the latter allow for...
Thomas Brox, Daniel Cremers
WEBI
2009
Springer
16 years 1 months ago
Improving Movie Gross Prediction through News Analysis
—Traditional movie gross predictions are based on numerical and categorical movie data. But since the 1990s, text sources such as news have been proven to carry extra and meaning...
Wenbin Zhang, Steven Skiena