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» Modelling Smooth Paths Using Gaussian Processes
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CIKM
2008
Springer
14 years 28 days ago
A sparse gaussian processes classification framework for fast tag suggestions
Tagged data is rapidly becoming more available on the World Wide Web. Web sites which populate tagging services offer a good way for Internet users to share their knowledge. An in...
Yang Song, Lu Zhang 0007, C. Lee Giles
ICA
2010
Springer
14 years 20 hour ago
Use of Prior Knowledge in a Non-Gaussian Method for Learning Linear Structural Equation Models
Abstract. We discuss causal structure learning based on linear structural equation models. Conventional learning methods most often assume Gaussianity and create many indistinguish...
Takanori Inazumi, Shohei Shimizu, Takashi Washio
ICML
2005
IEEE
14 years 11 months ago
Preference learning with Gaussian processes
In this paper, we propose a probabilistic kernel approach to preference learning based on Gaussian processes. A new likelihood function is proposed to capture the preference relat...
Wei Chu, Zoubin Ghahramani
CAGD
2005
116views more  CAGD 2005»
13 years 10 months ago
A sharpness dependent filter for mesh smoothing
In this paper, we propose a sharpness dependent filter design based on the fairing of surface normal, whereby the filtering algorithm automatically selects a filter. This may be a...
Chun-Yen Chen, Kuo-Young Cheng
DAGM
2004
Springer
14 years 2 months ago
Accurate and Efficient Approximation of the Continuous Gaussian Scale-Space
Abstract. The Gaussian scale-space is a standard tool in image analysis. While continuous in theory, it is generally realized with fixed regular grids in practice. This prevents th...
Ullrich Köthe