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» Adaptive Learning from Evolving Data Streams
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91
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ICDM
2007
IEEE
187views Data Mining» more  ICDM 2007»
15 years 7 months ago
A Comparative Study of Methods for Transductive Transfer Learning
The problem of transfer learning, where information gained in one learning task is used to improve performance in another related task, is an important new area of research. While...
Andrew Arnold, Ramesh Nallapati, William W. Cohen
SDM
2007
SIAM
162views Data Mining» more  SDM 2007»
15 years 2 months ago
Probabilistic Joint Feature Selection for Multi-task Learning
We study the joint feature selection problem when learning multiple related classification or regression tasks. By imposing an automatic relevance determination prior on the hypo...
Tao Xiong, Jinbo Bi, R. Bharat Rao, Vladimir Cherk...
91
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MCS
2005
Springer
15 years 6 months ago
Exploiting Class Hierarchies for Knowledge Transfer in Hyperspectral Data
Abstract. Obtaining ground truth for hyperspectral data is an expensive task. In addition, a number of factors cause the spectral signatures of the same class to vary with location...
Suju Rajan, Joydeep Ghosh
97
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VMV
2004
179views Visualization» more  VMV 2004»
15 years 1 months ago
High-Resolution Interactive Panoramas with MPEG-4
We present a system for the interactive navigation through high-resolution cylindrical panoramas. The system is based on MPEG-4 and describes the virtual world by the scene descri...
Peter Eisert, Yong Guo, Anke Riechers, Jürgen...
106
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ECAI
2006
Springer
15 years 4 months ago
Least Squares SVM for Least Squares TD Learning
Abstract. We formulate the problem of least squares temporal difference learning (LSTD) in the framework of least squares SVM (LS-SVM). To cope with the large amount (and possible ...
Tobias Jung, Daniel Polani