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JMLR
2008
117views more  JMLR 2008»
15 years 4 months ago
Closed Sets for Labeled Data
Closed sets have been proven successful in the context of compacted data representation for association rule learning. However, their use is mainly descriptive, dealing only with ...
Gemma C. Garriga, Petra Kralj, Nada Lavrac
ICML
2003
IEEE
16 years 5 months ago
A Kernel Between Sets of Vectors
In various application domains, including image recognition, it is natural to represent each example as a set of vectors. With a base kernel we can implicitly map these vectors to...
Risi Imre Kondor, Tony Jebara
ECML
2007
Springer
15 years 11 months ago
Optimizing Feature Sets for Structured Data
Choosing a suitable feature representation for structured data is a non-trivial task due to the vast number of potential candidates. Ideally, one would like to pick a small, but in...
Ulrich Rückert, Stefan Kramer
APSCC
2008
IEEE
15 years 11 months ago
Adaptive Learning Sequencing for Course Customization: A Web Service Approach
— We discuss a learning model that enables the creation of optimal learning strategies that suit learners’ needs. A customized learning content is delivered to learners as mana...
Ivan Madjarov, Abdelkader Bétari
IADIS
2004
15 years 6 months ago
Just-In-Time Learning: Ready For SMS?
The world trends indicate that a very high number of university students have access to a mobile phone. Is it time to integrate SMS-based mobile learning into a flexible learning ...
Krassie Petrova, Yenni Sutedjo