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» Learning Algorithms for Domain Adaptation
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119
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PRICAI
2000
Springer
15 years 6 months ago
The Lumberjack Algorithm for Learning Linked Decision Forests
While the decision tree is an effective representation that has been used in many domains, a tree can often encode a concept inefficiently. This happens when the tree has to repres...
William T. B. Uther, Manuela M. Veloso
189
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ICALT
2011
IEEE
14 years 2 months ago
Tailoring Serious Games with Adaptive Pedagogical Scenarios: A Serious Game for Persons with Cognitive Disabilities
—this work addresses issues relevant to the project CLES (Cognitive and Linguistic Element Stimulation) which aims to develop a serious game for diagnosis and training of childre...
Aarij Mahmood Hussaan, Karim Sehaba, Alain Mille
ICMCS
2006
IEEE
119views Multimedia» more  ICMCS 2006»
15 years 8 months ago
A New Deblocking Algorithm Based on Adjusted Contourlet Transform
A new postprocessing method based on adjusted contourlet transform is introduced in this paper for suppressing blocking artifacts (BA) in block-based discrete cosine transform (BD...
Haohao Song, Songyu Yu, Chen Wang, Li Song, Hongka...
134
Voted
ICDM
2009
IEEE
199views Data Mining» more  ICDM 2009»
15 years 9 months ago
Active Learning with Adaptive Heterogeneous Ensembles
—One common approach to active learning is to iteratively train a single classifier by choosing data points based on its uncertainty, but it is nontrivial to design uncertainty ...
Zhenyu Lu, Xindong Wu, Josh Bongard
113
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IJCAI
2001
15 years 4 months ago
Active Learning for Structure in Bayesian Networks
The task of causal structure discovery from empirical data is a fundamental problem in many areas. Experimental data is crucial for accomplishing this task. However, experiments a...
Simon Tong, Daphne Koller