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» Results Merging Algorithm Using Multiple Regression Models
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133
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NIPS
2003
15 years 3 months ago
Gaussian Processes in Reinforcement Learning
We exploit some useful properties of Gaussian process (GP) regression models for reinforcement learning in continuous state spaces and discrete time. We demonstrate how the GP mod...
Carl Edward Rasmussen, Malte Kuss
113
Voted
ESANN
2004
15 years 4 months ago
Evolutionary tuning of multiple SVM parameters
The problem of model selection for support vector machines (SVMs) is considered. We propose an evolutionary approach to determine multiple SVM hyperparameters: The covariance matr...
Frauke Friedrichs, Christian Igel
109
Voted
ISPD
2007
ACM
99views Hardware» more  ISPD 2007»
15 years 4 months ago
Minimal skew clock embedding considering time variant temperature gradient
The existing temperature-aware clock embedding assumes a time-invariant temperature gradient. However, it is not solved how to find the worst-case temperature gradient leading to...
Hao Yu, Yu Hu, Chunchen Liu, Lei He
95
Voted
SNPD
2008
15 years 4 months ago
An Efficient Parallel Eye Detection Algorithm on Facial Color Images
As processing power becomes cheaper and more available in cluster of computers, the need for parallel algorithm that can harness this computing potentials will increase. One applic...
Jalal A. Nasiri, M. Amir Moulavi, Sepideh Nazemi G...
132
Voted
BPM
2007
Springer
130views Business» more  BPM 2007»
15 years 8 months ago
Process Mining Based on Clustering: A Quest for Precision
Process mining techniques attempt to extract non-trivial and useful information from event logs recorded by information systems. For example, there are many process mining techniqu...
Ana Karla Alves de Medeiros, Antonella Guzzo, Gian...