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JMLR
2008
168views more  JMLR 2008»
13 years 7 months ago
Max-margin Classification of Data with Absent Features
We consider the problem of learning classifiers in structured domains, where some objects have a subset of features that are inherently absent due to complex relationships between...
Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbe...
ICML
2005
IEEE
14 years 8 months ago
Incomplete-data classification using logistic regression
A logistic regression classification algorithm is developed for problems in which the feature vectors may be missing data (features). Single or multiple imputation for the missing...
David Williams, Xuejun Liao, Ya Xue, Lawrence Cari...
CHI
2011
ACM
12 years 11 months ago
What did i miss?: in-meeting review using multimodal accelerated instant replay (air) conferencing
People sometimes miss small parts of meetings and need to quickly catch up without disrupting the rest of the meeting. We developed an Accelerated Instant Replay (AIR) Conferencin...
Sasa Junuzovic, Kori Inkpen, Rajesh Hegde, Zhengyo...
IEAAIE
2010
Springer
13 years 5 months ago
Web Usage Mining for Improving Students Performance in Learning Management Systems
An innovative technique based on multi-objective grammar guided genetic programming (MOG3P-MI) is proposed to detect the most relevant activities that a student needs to pass a cou...
Amelia Zafra, Sebastián Ventura
SCIA
2009
Springer
305views Image Analysis» more  SCIA 2009»
14 years 2 months ago
A Convex Approach to Low Rank Matrix Approximation with Missing Data
Many computer vision problems can be formulated as low rank bilinear minimization problems. One reason for the success of these problems is that they can be efficiently solved usin...
Carl Olsson, Magnus Oskarsson