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» Learning Algorithms for Domain Adaptation
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PRICAI
2000
Springer
15 years 3 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
ICALT
2011
IEEE
13 years 11 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 6 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...
ICDM
2009
IEEE
199views Data Mining» more  ICDM 2009»
15 years 6 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
IJCAI
2001
15 years 1 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