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» Combining Estimators Using Non-Constant Weighting Functions
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MCS
2005
Springer
15 years 7 months ago
Between Two Extremes: Examining Decompositions of the Ensemble Objective Function
We study how the error of an ensemble regression estimator can be decomposed into two components: one accounting for the individual errors and the other accounting for the correlat...
Gavin Brown, Jeremy L. Wyatt, Ping Sun
PVLDB
2010
140views more  PVLDB 2010»
15 years 8 days ago
Optimal Top-K Query Evaluation for Weighted Business Processes
A Business Process (BP for short) consists of a set of activities that achieve some business goal when combined in a flow. Among all the (maybe infinitely many) possible executi...
Daniel Deutch, Tova Milo, Neoklis Polyzotis, Tom Y...
MICCAI
2010
Springer
15 years 9 days ago
Model-Free, Regularized, Fast, and Robust Analytical Orientation Distribution Function Estimation
High Angular Resolution Imaging (HARDI) can better explore the complex micro-structure of white matter compared to Diffusion Tensor Imaging (DTI). Orientation Distribution Functio...
Jian Cheng, Aurobrata Ghosh, Rachid Deriche, Tianz...
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JAIR
2007
79views more  JAIR 2007»
15 years 1 months ago
Probabilistic Planning via Heuristic Forward Search and Weighted Model Counting
We present a new algorithm for probabilistic planning with no observability. Our algorithm, called Probabilistic-FF, extends the heuristic forward-search machinery of Conformant-F...
Carmel Domshlak, Jörg Hoffmann
CSSC
2008
110views more  CSSC 2008»
15 years 1 months ago
Nonlinear Quantile Regression Estimation of Longitudinal Data
This paper examines a weighted version of the quantile regression estimator defined by Koenker and Bassett (1978), adjusted to the case of nonlinear longitudinal data. Different w...
Andreas Karlsson