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» Learning Object Context for Adaptive Learning Design
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ACML
2009
Springer
14 years 3 months ago
Robust Discriminant Analysis Based on Nonparametric Maximum Entropy
In this paper, we propose a Robust Discriminant Analysis based on maximum entropy (MaxEnt) criterion (MaxEnt-RDA), which is derived from a nonparametric estimate of Renyi’s quadr...
Ran He, Bao-Gang Hu, Xiaotong Yuan
UIALL
2004
Springer
14 years 2 months ago
A Question of Realism
Abstract. We present the results of an exploratory study investigating the feasibility of using multimedia software to teach life skills to adults with learning difficulties. As a ...
Richard Hetherington, Alison Crerar, Phil Turner
CSCW
2002
ACM
13 years 8 months ago
Conventions and Commitments in Distributed CSCW Groups
Conventions are necessary to establish in any recurrent cooperative arrangement. In electronic work, they are important so as to regulate the use of shared objects. Based on empir...
Gloria Mark
ICASSP
2011
IEEE
13 years 14 days ago
Application specific loss minimization using gradient boosting
Gradient boosting is a flexible machine learning technique that produces accurate predictions by combining many weak learners. In this work, we investigate its use in two applica...
Bin Zhang, Abhinav Sethy, Tara N. Sainath, Bhuvana...
BMCBI
2007
194views more  BMCBI 2007»
13 years 8 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