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» Ensemble Methods in Machine Learning
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FLAIRS
2007
15 years 4 months ago
Random Subsets Support Learning a Mixture of Heuristics
Problem solvers, both human and machine, have at their disposal many heuristics that may support effective search. The efficacy of these heuristics, however, varies with the probl...
Smiljana Petrovic, Susan L. Epstein
126
Voted
CVPR
2009
IEEE
16 years 9 months ago
Learning to Track with Multiple Observers
We propose a novel approach to designing algorithms for object tracking based on fusing multiple observation models. As the space of possible observation models is too large for...
Björn Stenger, Roberto Cipolla, Thomas Woodle...
137
Voted
ICRA
2008
IEEE
124views Robotics» more  ICRA 2008»
15 years 9 months ago
Simultaneous learning of motion and sensor model parameters for mobile robots
— Motion and sensor models are crucial components in current algorithms for mobile robot localization and mapping. These models are typically provided and hand-tuned by a human o...
Teddy N. Yap Jr., Christian R. Shelton
107
Voted
ECTEL
2007
Springer
15 years 8 months ago
Online Evaluation of Collaborative Learning Platforms
The paper presents a flexible framework for the online evaluation of collaborative project-oriented e-learning platforms. The framework was developed for the evaluation of the COOP...
Vlad Posea, Stefan Trausan-Matu, Valentin Cristea
DAGM
2004
Springer
15 years 8 months ago
Learning with Distance Substitution Kernels
Abstract. During recent years much effort has been spent in incorporating problem specific a-priori knowledge into kernel methods for machine learning. A common example is a-prior...
Bernard Haasdonk, Claus Bahlmann