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» Dimensions of machine learning in design
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KDD
2007
ACM
159views Data Mining» more  KDD 2007»
14 years 10 months ago
Local decomposition for rare class analysis
Given its importance, the problem of predicting rare classes in large-scale multi-labeled data sets has attracted great attentions in the literature. However, the rare-class probl...
Junjie Wu, Hui Xiong, Peng Wu, Jian Chen
BMCBI
2007
194views more  BMCBI 2007»
13 years 10 months ago
Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
Xin Zhao, Leo Wang-Kit Cheung
EDUTAINMENT
2007
Springer
14 years 4 months ago
Teaching Structured Development of Virtual Reality Systems Using P-VoT
Learning to build and test virtual reality (VR) systems is difficult due to the many required knowledge (e.g. computer graphics, sound processing, simulation, interaction, etc.) an...
Jinseok Seo, Gerard Jounghyun Kim
KDD
2012
ACM
178views Data Mining» more  KDD 2012»
12 years 17 days ago
Mining emerging patterns by streaming feature selection
Building an accurate emerging pattern classifier with a highdimensional dataset is a challenging issue. The problem becomes even more difficult if the whole feature space is unava...
Kui Yu, Wei Ding 0003, Dan A. Simovici, Xindong Wu
CHI
2004
ACM
14 years 10 months ago
Examining the robustness of sensor-based statistical models of human interruptibility
Current systems often create socially awkward interruptions or unduly demand attention because they have no way of knowing if a person is busy and should not be interrupted. Previ...
James Fogarty, Scott E. Hudson, Jennifer Lai