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» Learning Algorithms for Domain Adaptation
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ICDM
2009
IEEE
207views Data Mining» more  ICDM 2009»
14 years 9 months ago
Spatially Adaptive Classification and Active Learning of Multispectral Data with Gaussian Processes
Multispectral remote sensing images are widely used for automated land use and land cover classification tasks. Remotely sensed images usually cover large geographical areas, and s...
Goo Jun, Ranga Raju Vatsavai, Joydeep Ghosh
CORR
2006
Springer
105views Education» more  CORR 2006»
14 years 12 months ago
Using Users' Expectations to Adapt Business Intelligence Systems
: This paper takes a look at the general characteristics of business or economic intelligence system. The role of the user within this type of system is emphasized. We propose two ...
Babajide Afolabi, Odile Thiery
CVPR
2005
IEEE
16 years 1 months ago
Cross-Generalization: Learning Novel Classes from a Single Example by Feature Replacement
We develop an object classification method that can learn a novel class from a single training example. In this method, experience with already learned classes is used to facilita...
Evgeniy Bart, Shimon Ullman
NIPS
1993
15 years 1 months ago
The Parti-Game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-Spaces
Parti-game is a new algorithm for learning feasible trajectories to goal regions in high dimensionalcontinuousstate-spaces. In high dimensions it is essential that learningdoes not...
Andrew W. Moore
CSREAEEE
2007
136views Business» more  CSREAEEE 2007»
15 years 1 months ago
Virtual Apparatus Framework Approach to Constructing Adaptive Tutorials
- We present the Adaptive eLearning Platform (AeLP) – a platform solution for creating rich, interactive, and highly visual, adaptive eLearning activities designed using Virtual ...
Dror Ben-Naim, Nadine Marcus, Michael Bain