1196 search results - page 117 / 240 » Using Machine Learning Techniques to Combine Forecasting Met... |
CVPR
2009
IEEE
15 years 4 months ago
2009
IEEE
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...
ICML
1994
IEEE
14 years 21 days ago
1994
IEEE
Model selection is important in many areas of supervised learning. Given a dataset and a set of models for predicting with that dataset, we must choose the model which is expected...
KDD
2004
ACM
14 years 9 months ago
2004
ACM
In this paper, we describe the development of a fielded application for detecting malicious executables in the wild. We gathered 1971 benign and 1651 malicious executables and enc...
ICML
2003
IEEE
14 years 10 months ago
2003
IEEE
Hierarchical reinforcement learning is a general framework which attempts to accelerate policy learning in large domains. On the other hand, policy gradient reinforcement learning...
IJCNN
2008
IEEE
14 years 3 months ago
2008
IEEE
Abstract— This paper proposes a combination of methodologies based on a recent development –called Extreme Learning Machine (ELM)– decreasing drastically the training time of...