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» Evaluating algorithms that learn from data streams
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AAAI
2008
15 years 9 months ago
Integrating Multiple Learning Components through Markov Logic
This paper addresses the question of how statistical learning algorithms can be integrated into a larger AI system both from a practical engineering perspective and from the persp...
Thomas G. Dietterich, Xinlong Bao
IPPS
2006
IEEE
16 years 19 days ago
High-performance computing in remotely sensed hyperspectral imaging: the Pixel Purity Index algorithm as a case study
The incorporation of last-generation sensors to airborne and satellite platforms is currently producing a nearly continual stream of high-dimensional data, and this explosion in t...
Antonio Plaza, David Valencia, Javier Plaza
195
Voted
NLPRS
2001
Springer
15 years 11 months ago
A Bayesian Approach to Semi-Supervised Learning
Recent research in automated learning has focused on algorithms that learn from a combination of tagged and untagged data. Such algorithms can be referred to as semi-supervised in...
Rebecca F. Bruce
WWW
2011
ACM
15 years 1 months ago
Towards semantic knowledge propagation from text corpus to web images
In this paper, we study the problem of transfer learning from text to images in the context of network data in which link based bridges are available to transfer the knowledge bet...
Guojun Qi, Charu C. Aggarwal, Thomas Huang
CVPR
2007
IEEE
16 years 28 days ago
Hierarchical Structuring of Data on Manifolds
Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...
Jun Li, Pengwei Hao