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ICANN
2005
Springer
14 years 3 months ago
A Neural Network Model for Inter-problem Adaptive Online Time Allocation
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
Matteo Gagliolo, Jürgen Schmidhuber
NIPS
2008
13 years 11 months ago
Automatic online tuning for fast Gaussian summation
Many machine learning algorithms require the summation of Gaussian kernel functions, an expensive operation if implemented straightforwardly. Several methods have been proposed to...
Vlad I. Morariu, Balaji Vasan Srinivasan, Vikas C....
PAMI
2007
194views more  PAMI 2007»
13 years 9 months ago
Robust Object Tracking Via Online Dynamic Spatial Bias Appearance Models
This paper presents a robust object tracking method via a spatial bias appearance model learned dynamically in video. Motivated by the attention shifting among local regions of a ...
Datong Chen, Jie Yang
ICIC
2007
Springer
14 years 4 months ago
Fuzzy Modeling Via On-Line Clustering and Support Vector Machine
Abstract. This paper describes a novel fuzzy rule-based modeling approach for some slow industrial processses. Structure identification is realized by clustering and support vecto...
Julio César Tovar, Wen Yu, Xiaoou Li
ITS
2010
Springer
160views Multimedia» more  ITS 2010»
14 years 2 months ago
The Online Deteriorating Patient: An Adaptive Simulation to Foster Expertise in Emergency Decision-Making
The deteriorating patient activity (DPA) is a low-fidelity educational simulation that prepares medical students to effectively approach emergency situations. This paper outlines h...
Emmanuel G. Blanchard, Jeffrey Wiseman, Laura Nais...