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ICML
2010
IEEE
13 years 9 months ago
High-Performance Semi-Supervised Learning using Discriminatively Constrained Generative Models
We develop a semi-supervised learning method that constrains the posterior distribution of latent variables under a generative model to satisfy a rich set of feature expectation c...
Gregory Druck, Andrew McCallum
IJCSA
2008
96views more  IJCSA 2008»
13 years 8 months ago
Integration of Educational Specifications and Standards to Support Adaptive Learning Scenarios in ADAPTAPlan
ADAPTAPlan project provides dynamic assistance for reducing authors' effort in developing instructional design tasks using user modelling, planning and machine learning techn...
Silvia Baldiris, Olga C. Santos, Carmen Barrera, J...
ISM
2008
IEEE
101views Multimedia» more  ISM 2008»
14 years 2 months ago
Photo Context as a Bag of Words
In the recent years, photo context metadata (e.g., date, GPS coordinates) have been proved to be useful in the management of personal photos. However, these metadata are still poo...
Windson Viana, Samira Hammiche, Marlène Vil...
IEEECIT
2006
IEEE
14 years 2 months ago
ACGs: Adaptive Course Generation System - An Efficient Approach to Build E-Learning Course
Recently, adaptive course generation has been focusing by several researchers. We have built ACGs system to create adaptive courses for each learner based on evaluating demand, ab...
Anh Nguyen Viet, Dam Ho Si
CVPR
2007
IEEE
14 years 10 months ago
Hybrid learning of large jigsaws
A jigsaw is a recently proposed generative model that describes an image as a composition of non-overlapping patches of varying shape, extracted from a latent image. By learning t...
Julia A. Lasserre, Anitha Kannan, John M. Winn