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» Experimental Design for Variable Selection in Data Bases
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CSDA
2006
96views more  CSDA 2006»
13 years 7 months ago
Analysis of new variable selection methods for discriminant analysis
Several methods to select variables that are subsequently used in discriminant analysis are proposed and analysed. The aim is to find from among a set of m variables a smaller sub...
Joaquín A. Pacheco, Silvia Casado, Laura N&...
ICML
2006
IEEE
14 years 8 months ago
Active learning via transductive experimental design
This paper considers the problem of selecting the most informative experiments x to get measurements y for learning a regression model y = f(x). We propose a novel and simple conc...
Kai Yu, Jinbo Bi, Volker Tresp
ICMLA
2008
13 years 8 months ago
Estimation of Exercise Energy Expenditure Using a Wrist-Worn Accelerometer: A Linear Mixed Model Approach with Fixed-Effect Vari
This article presents an approach to estimating exercise energy expenditure based on acceleration measurements from a wrist-worn biaxial sensor. The method uses the linear mixed m...
Eija Haapalainen, Perttu Laurinen, Juha Rönin...
ICASSP
2009
IEEE
14 years 2 months ago
Factor graph based design of an OFDM-IDMA receiver performing joint data detection, channel estimation, and channel length selec
We present a factor graph based design of a receiver for pilotassisted OFDM-IDMA systems transmitting over frequency-selective channels. The receiver performs joint iterative mult...
Clemens Novak, Gerald Matz, Franz Hlawatsch
IBERAMIA
2004
Springer
14 years 24 days ago
A Max-SAT Solver with Lazy Data Structures
We present a new branch and bound algorithm for Max-SAT which incorporates original lazy data structures, a new variable selection heuristics and a lower bound of better quality. W...
Teresa Alsinet, Felip Manyà, Jordi Planes