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CE
2004
153views more  CE 2004»
15 years 13 days ago
Let's get physical: The learning benefits of interacting in digitally augmented physical spaces
Much computer-based learning is largely passive, based primarily on task-based, exercise-driven interactions. We argue that computers have greater potential for promoting more act...
Sara Price, Yvonne Rogers
122
Voted
ICMCS
2006
IEEE
181views Multimedia» more  ICMCS 2006»
15 years 6 months ago
Toward Intelligent Use of Semantic Information on Subspace Discovery for Image Retrieval
Image retrieval has been widely used in many fields of science and engineering. The semantic concept of user interest is obtained by a learning process. Traditional techniques oft...
Jie Yu, Qi Tian
114
Voted
ESWA
2008
134views more  ESWA 2008»
14 years 11 months ago
Neighborhood classifiers
K nearest neighbor classifier (K-NN) is widely discussed and applied in pattern recognition and machine learning, however, as a similar lazy classifier using local information for...
Qinghua Hu, Daren Yu, Zongxia Xie
104
Voted
ICML
2000
IEEE
16 years 1 months ago
Version Space Algebra and its Application to Programming by Demonstration
Machine learning research has been very successful at producing powerful, broadlyapplicable classification learners. However, many practical learning problems do not fit the class...
Tessa A. Lau, Pedro Domingos, Daniel S. Weld
ECML
2006
Springer
15 years 4 months ago
Margin-Based Active Learning for Structured Output Spaces
In many complex machine learning applications there is a need to learn multiple interdependent output variables, where knowledge of these interdependencies can be exploited to impr...
Dan Roth, Kevin Small