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» Gaussian Processes in Reinforcement Learning
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ICML
2010
IEEE
15 years 4 months ago
Gaussian Processes Multiple Instance Learning
This paper proposes a multiple instance learning (MIL) algorithm for Gaussian processes (GP). The GP-MIL model inherits two crucial benefits from GP: (i) a principle manner of lea...
Minyoung Kim, Fernando De la Torre
SDM
2008
SIAM
105views Data Mining» more  SDM 2008»
15 years 5 months ago
Gaussian Process Learning for Cyber-Attack Early Warning
Network security has been a serious concern for many years. For example, firewalls often record thousands of exploit attempts on a daily basis. Network administrators could benefi...
Jian Zhang 0004, Phillip A. Porras, Johannes Ullri...
MLMI
2007
Springer
15 years 10 months ago
Gaussian Process Latent Variable Models for Human Pose Estimation
We describe a method for recovering 3D human body pose from silhouettes. Our model is based on learning a latent space using the Gaussian Process Latent Variable Model (GP-LVM) [1]...
Carl Henrik Ek, Philip H. S. Torr, Neil D. Lawrenc...
AC
2003
Springer
15 years 9 months ago
Gaussian Processes in Machine Learning
Carl Edward Rasmussen
ICANN
2001
Springer
15 years 8 months ago
On-Line Learning Methods for Gaussian Processes
Shigeyuki Oba, Masa-aki Sato, Shin Ishii