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JGS
2000
94views more  JGS 2000»
13 years 4 months ago
A linear regression solution to the spatial autocorrelation problem
Abstract. The Moran Coe
Daniel A. Griffith
TMM
2002
104views more  TMM 2002»
13 years 4 months ago
Spatial contextual classification and prediction models for mining geospatial data
Modeling spatial context (e.g., autocorrelation) is a key challenge in classification problems that arise in geospatial domains. Markov random fields (MRF) is a popular model for i...
Shashi Shekhar, Paul R. Schrater, Ranga Raju Vatsa...
ESANN
2008
13 years 6 months ago
Direct and inverse solution for a stimulus adaptation problem using SVR
Adapting stimuli to stabilize neural responses is an important problem in the context of cortical prostheses. This paper describes two approaches for stimulus adaptation using supp...
Dominik Brugger, Sergejus Butovas, Martin Bogdan, ...
ICDM
2008
IEEE
128views Data Mining» more  ICDM 2008»
13 years 11 months ago
Cost-Sensitive Parsimonious Linear Regression
We examine linear regression problems where some features may only be observable at a cost (e.g., in medical domains where features may correspond to diagnostic tests that take ti...
Robby Goetschalckx, Kurt Driessens, Scott Sanner
ICML
2005
IEEE
14 years 5 months ago
Core Vector Regression for very large regression problems
In this paper, we extend the recently proposed Core Vector Machine algorithm to the regression setting by generalizing the underlying minimum enclosing ball problem. The resultant...
Ivor W. Tsang, James T. Kwok, Kimo T. Lai