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ICANN
2003
Springer
14 years 1 months ago
Expectation-MiniMax Approach to Clustering Analysis
Abstract. This paper proposes a general approach named ExpectationMiniMax (EMM) for clustering analysis without knowing the cluster number. It describes the contrast function of Ex...
Yiu-ming Cheung
CVPR
2008
IEEE
14 years 10 months ago
Coherent image annotation by learning semantic distance
Conventional approaches to automatic image annotation usually suffer from two problems: (1) They cannot guarantee a good semantic coherence of the annotated words for each image, ...
Tao Mei, Yong Wang, Xian-Sheng Hua, Shaogang Gong,...
IJON
2007
104views more  IJON 2007»
13 years 8 months ago
A probabilistic model of eye movements in concept formation
It has been unclear whether optimal experimental design accounts of data selection may offer insight into evidence acquisition tasks in which the learner’s beliefs change greatl...
Jonathan D. Nelson, Garrison W. Cottrell
PROMISE
2010
13 years 2 months ago
On the value of learning from defect dense components for software defect prediction
BACKGROUND: Defect predictors learned from static code measures can isolate code modules with a higher than usual probability of defects. AIMS: To improve those learners by focusi...
Hongyu Zhang, Adam Nelson, Tim Menzies
AIME
2007
Springer
14 years 2 months ago
Variable Selection for Optimal Decision Making
This paper discusses variable selection for medical decision making; in particular decisions regarding when to provide treatment and which treatment to provide. Current variable se...
Lacey Gunter, Ji Zhu, Susan Murphy