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ICALT
2007
IEEE
16 years 12 days ago
A Pedagogy-driven Personalization Framework to Support Adaptive Learning Experiences
The creation of personalized learning experiences is considered as a necessity to cope with the overwhelming amount of available learning material. This paper presents a personali...
Polyxeni Arapi, Nektarios Moumoutzis, Manolis Mylo...
160
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ACL
2008
15 years 7 months ago
Active Learning with Confidence
Active learning is a machine learning approach to achieving high-accuracy with a small amount of labels by letting the learning algorithm choose instances to be labeled. Most of p...
Mark Dredze, Koby Crammer
CVPR
2012
IEEE
13 years 8 months ago
The Shape Boltzmann Machine: A strong model of object shape
A good model of object shape is essential in applications such as segmentation, object detection, inpainting and graphics. For example, when performing segmentation, local constra...
S. M. Ali Eslami, Nicolas Heess, John M. Winn
IJCNN
2008
IEEE
16 years 15 days ago
Cognitive learning and the multimodal memory game: Toward human-level machine learning
— Machine learning has made great progress during the last decades and is being deployed in a wide range of applications. However, current machine learning techniques are far fro...
Byoung-Tak Zhang
ICML
2004
IEEE
15 years 11 months ago
Learning to learn with the informative vector machine
This paper describes an ecient method for learning the parameters of a Gaussian process (GP). The parameters are learned from multiple tasks which are assumed to have been drawn ...
Neil D. Lawrence, John C. Platt