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ICDAR
2003
IEEE
15 years 11 months ago
Unsupervised Feature Selection Using Multi-Objective Genetic Algorithms for Handwritten Word Recognition
In this paper a methodology for feature selection in unsupervised learning is proposed. It makes use of a multiobjective genetic algorithm where the minimization of the number of ...
Marisa E. Morita, Robert Sabourin, Flávio B...
COLT
2000
Springer
15 years 10 months ago
Barrier Boosting
Boosting algorithms like AdaBoost and Arc-GV are iterative strategies to minimize a constrained objective function, equivalent to Barrier algorithms. Based on this new understandi...
Gunnar Rätsch, Manfred K. Warmuth, Sebastian ...
EDUTAINMENT
2006
Springer
15 years 10 months ago
Dynamic User Modeling for Sketch-Based User Interface
Abstract. This paper presents a strategy of dynamic user modeling for sketchbased user interface. A user model is defined as an incremental decision tree for a specific user. A dra...
Zhengxing Sun, Bin Li, Qiang Wang, Guihuan Feng
ESANN
2008
15 years 7 months ago
Interpretable ensembles of local models for safety-related applications
Abstract. This paper discusses a machine learning approach for binary classification problems which satisfies the specific requirements of safety-related applications. The approach...
Sebastian Nusser, Clemens Otte, Werner Hauptmann
AIIDE
2006
15 years 7 months ago
Goal-Directed Hierarchical Dynamic Scripting for RTS Games
Learning how to defeat human players is a challenging task in today's commercial computer games. This paper suggests a goal-directed hierarchical dynamic scripting approach f...
Anders Dahlbom, Lars Niklasson