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GIS
2009
ACM
14 years 1 months ago
REG^2: a regional regression framework for geo-referenced datasets
Traditional regression analysis derives global relationships between variables and neglects spatial variations in variables. Hence they lack the ability to systematically discover...
Oner Ulvi Celepcikay, Christoph F. Eick
ECML
2007
Springer
14 years 3 months ago
Additive Groves of Regression Trees
We present a new regression algorithm called Additive Groves and show empirically that it is superior in performance to a number of other established regression methods. A single G...
Daria Sorokina, Rich Caruana, Mirek Riedewald
ESANN
2004
13 years 10 months ago
Sparse Bayesian kernel logistic regression
In this paper we present a simple hierarchical Bayesian treatment of the sparse kernel logistic regression (KLR) model based MacKay's evidence approximation. The model is re-p...
Gavin C. Cawley, Nicola L. C. Talbot
NIPS
1994
13 years 10 months ago
Active Learning with Statistical Models
For many types of machine learning algorithms, one can compute the statistically optimal" way to select training data. In this paper, we review how optimal data selection tec...
David A. Cohn, Zoubin Ghahramani, Michael I. Jorda...
EUSFLAT
2001
131views Fuzzy Logic» more  EUSFLAT 2001»
13 years 10 months ago
Fuzzy-statistics with vague concepts
The aim of this paper is to give a.sketch of a foundation of statistical analysis with fuzzy data, extending the methodology of Mathematical Stat,istics. For t.hispurpose it will ...
Volker Krätschmer