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MM
2005
ACM
134views Multimedia» more  MM 2005»
16 years 10 days ago
Graph based multi-modality learning
To better understand the content of multimedia, a lot of research efforts have been made on how to learn from multi-modal feature. In this paper, it is studied from a graph point ...
Hanghang Tong, Jingrui He, Mingjing Li, Changshui ...
PKDD
2004
Springer
324views Data Mining» more  PKDD 2004»
16 years 3 days ago
Orange: From Experimental Machine Learning to Interactive Data Mining
Abstract. Orange (www.ailab.si/orange) is a suite for machine learning and data mining. It can be used though scripting in Python or with visual programming in Orange Canvas using ...
Janez Demsar, Blaz Zupan, Gregor Leban, Tomaz Curk
DEXAW
2002
IEEE
91views Database» more  DEXAW 2002»
15 years 11 months ago
Using Digital Narratives to Support the Collaborative Learning and Exploration of Cultural Heritage
Cultural institutions increasingly see the need to play an important role in the lifelong learning of citizens. Recent trends, particularly in science museums, have been toward su...
Paul Mulholland, Trevor D. Collins
EUROMICRO
2000
IEEE
15 years 11 months ago
Supporting Cooperative Learning of Process Knowledge on the World Wide Web
The WWW makes learning materials widely accessible and provides an environment where people can learn across time and space. However, the simple read-only information structure on...
Weigang Wang, Jörg M. Haake, Jessica Rubart, ...
FOCS
1999
IEEE
15 years 11 months ago
An Algorithmic Theory of Learning: Robust Concepts and Random Projection
We study the phenomenon of cognitive learning from an algorithmic standpoint. How does the brain effectively learn concepts from a small number of examples despite the fact that e...
Rosa I. Arriaga, Santosh Vempala