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» Gaussian Processes in Reinforcement Learning
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ICML
2010
IEEE
13 years 10 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»
13 years 11 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
14 years 3 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
14 years 2 months ago
Gaussian Processes in Machine Learning
Carl Edward Rasmussen
ICANN
2001
Springer
14 years 2 months ago
On-Line Learning Methods for Gaussian Processes
Shigeyuki Oba, Masa-aki Sato, Shin Ishii