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JMLR
2010
154views more  JMLR 2010»
15 years 1 months ago
Infinite Predictor Subspace Models for Multitask Learning
Given several related learning tasks, we propose a nonparametric Bayesian model that captures task relatedness by assuming that the task parameters (i.e., predictors) share a late...
Piyush Rai, Hal Daumé III
AIED
2011
Springer
14 years 10 months ago
Peering Inside Peer Review with Bayesian Models
Abstract. Instructors and students would benefit more from computersupported peer review, if instructors received information on how well students have understood the conceptual is...
Ilya M. Goldin, Kevin D. Ashley
ICDE
1997
IEEE
114views Database» more  ICDE 1997»
16 years 8 months ago
Modeling Multidimensional Databases
We propose a data model and a few algebraic operations that provide semantic foundation to multidimensional databases. The distinguishing feature of the proposed model is the symm...
Rakesh Agrawal, Ashish Gupta, Sunita Sarawagi
ICONS
2009
IEEE
16 years 1 months ago
Modeling System Safety Requirements Using Input/Output Constraint Meta-automata
Most recent software related accidents have been system accidents. To validate the absence of system hazards concerning dysfunctional interactions, industrials call for approaches...
Zhe Chen, Gilles Motet
ICMCS
2007
IEEE
155views Multimedia» more  ICMCS 2007»
16 years 1 months ago
Hidden Maximum Entropy Approach for Visual Concept Modeling
Recently, the bag-of-words approach has been successfully applied to automatic image annotation, object recognition, etc. The method needs to first quantize an image using the vis...
Sheng Gao, Joo-Hwee Lim, Qibin Sun