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» Kolmogorov Complexity and Model Selection
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DAWAK
2010
Springer
13 years 7 months ago
Modelling Complex Data by Learning Which Variable to Construct
Abstract. This paper addresses a task of variable selection which consists in choosing a subset of variables that is sufficient to predict the target label well. Here instead of tr...
Françoise Fessant, Aurélie Le Cam, M...
BMCBI
2010
146views more  BMCBI 2010»
13 years 7 months ago
Genomic selection and complex trait prediction using a fast EM algorithm applied to genome-wide markers
Background: The information provided by dense genome-wide markers using high throughput technology is of considerable potential in human disease studies and livestock breeding pro...
Ross K. Shepherd, Theo H. E. Meuwissen, John A. Wo...
SMA
2005
ACM
167views Solid Modeling» more  SMA 2005»
14 years 1 months ago
Boolean operations on 3D selective Nef complexes: optimized implementation and experiments
Nef polyhedra in d-dimensional space are the closure of half-spaces under boolean set operation. In consequence, they can represent non-manifold situations, open and closed sets, ...
Peter Hachenberger, Lutz Kettner
ADMA
2006
Springer
127views Data Mining» more  ADMA 2006»
14 years 1 months ago
Feature Selection for Complex Patterns
Feature selection is an important data preprocessing step in data mining and pattern recognition. Many algorithms have been proposed in the past for simple patterns that can be cha...
Peter Schenkel, Wanqing Li, Wanquan Liu
ICRA
2007
IEEE
115views Robotics» more  ICRA 2007»
14 years 1 months ago
Sensor Selection Using Information Complexity for Multi-sensor Mobile Robot Localization
—Our sensor selection algorithm targets the problem of global self-localization of multi-sensor mobile robots. The algorithm builds on the probabilistic reasoning using Bayes fil...
Sreenivas R. Sukumar, Hamparsum Bozdogan, David L....