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» The importance of being biased
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105
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MICCAI
2003
Springer
16 years 1 months ago
A Multiscale Feature Detector for Morphological Analysis of the Brain
Feature detection on MR images has largely relied on intensity classification and gradient-based magnitudes. In this paper, we propose the use of phase congruency as a more robust ...
Marius George Linguraru, Miguel Ángel Gonz&...
ICDM
2009
IEEE
139views Data Mining» more  ICDM 2009»
15 years 7 months ago
A Bootstrap Approach to Eigenvalue Correction
—Eigenvalue analysis is an important aspect in many data modeling methods. Unfortunately, the eigenvalues of the sample covariance matrix (sample eigenvalues) are biased estimate...
Anne Hendrikse, Luuk J. Spreeuwers, Raymond N. J. ...
AAAI
2008
15 years 2 months ago
Studies in Solution Sampling
We introduce novel algorithms for generating random solutions from a uniform distribution over the solutions of a boolean satisfiability problem. Our algorithms operate in two pha...
Vibhav Gogate, Rina Dechter
CORR
2012
Springer
185views Education» more  CORR 2012»
13 years 8 months ago
Adjustment Criteria in Causal Diagrams: An Algorithmic Perspective
Identifying and controlling bias is a key problem in empirical sciences. Causal diagram theory provides graphical criteria for deciding whether and how causal effects can be iden...
Johannes Textor, Maciej Liskiewicz
121
Voted
PAAMS
2010
Springer
14 years 10 months ago
A Model-Based Ambient Agent Providing Support in Handling Desire and Temptation
An ambient agent system is presented estimating a human's dynamics of desiring and being tempted. The agent is equipped with a dynamical model of the human's processes wh...
Mark Hoogendoorn, Zulfiqar A. Memon, Jan Treur, Mu...