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ICANN
2009
Springer
15 years 11 months ago
Empirical Study of the Universum SVM Learning for High-Dimensional Data
Abstract. Many applications of machine learning involve sparse highdimensional data, where the number of input features is (much) larger than the number of data samples, d n. Predi...
Vladimir Cherkassky, Wuyang Dai
ECTEL
2006
Springer
15 years 10 months ago
Extending SCORM to Create Adaptive Courses
Abstract. Current e-learning standards have been designed to provide reusability of educational contents and interoperability between systems. Besides these features, content perso...
Marta Rey-López, Ana Fernández Vilas...
ECTEL
2009
Springer
15 years 4 months ago
Experience Structuring Factors Affecting Learning in Family Visits to Museums
Abstract. This paper describes the design and evaluation of an adaptive museum guide for families. In the Kurio system, a mixture of embedded and tangible technology imbues the mus...
Marek Hatala, Karen Tanenbaum, Ron Wakkary, Kevin ...
VEE
2010
ACM
218views Virtualization» more  VEE 2010»
16 years 1 months ago
Improving compiler-runtime separation with XIR
Intense research on virtual machines has highlighted the need for flexible software architectures that allow quick evaluation of new design and implementation techniques. The inte...
Ben Titzer, Thomas Würthinger, Doug Simon, Ma...
CONEXT
2006
ACM
16 years 13 days ago
Learning for accurate classification of real-time traffic
Accurate network traffic classification is an important task. We intend to develop an intelligent classification system by learning the types of service inside a network flow usin...
Wei Li, Andrew W. Moore