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» Estimation in covariate-adjusted regression
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DAGM
2006
Springer
15 years 2 months ago
Model Selection in Kernel Methods Based on a Spectral Analysis of Label Information
Abstract. We propose a novel method for addressing the model selection problem in the context of kernel methods. In contrast to existing methods which rely on hold-out testing or t...
Mikio L. Braun, Tilman Lange, Joachim M. Buhmann
HHCI
2000
15 years 2 months ago
Interaction of Visual and Haptic Information in Simulated Environments: Texture Perception
This paper describes experiments relating to the perception of the roughness of simulated surfaces via the haptic and visual senses. Subjects used a magnitude estimation technique...
Steven A. Wall, William Harwin
AIPS
2004
15 years 20 days ago
Heuristic Guidance Measures for Conformant Planning
Scaling conformant planning is a problem that has received much attention of late. Many planners solve the problem as a search in the space of belief states, and some heuristic gu...
Daniel Bryce, Subbarao Kambhampati
JMLR
2008
83views more  JMLR 2008»
14 years 11 months ago
Evidence Contrary to the Statistical View of Boosting
The statistical perspective on boosting algorithms focuses on optimization, drawing parallels with maximum likelihood estimation for logistic regression. In this paper we present ...
David Mease, Abraham Wyner
TSP
2010
14 years 6 months ago
Variance-component based sparse signal reconstruction and model selection
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
Kun Qiu, Aleksandar Dogandzic