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111
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ADMA
2006
Springer
110views Data Mining» more  ADMA 2006»
15 years 7 months ago
Learning with Local Drift Detection
Abstract. Most of the work in Machine Learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
João Gama, Gladys Castillo
161
Voted
IADIS
2004
15 years 5 months ago
Problem Based Learning in the Digital Age: A Case Study on Digital Entertainment
While the digital age is based on computing, computing disciplines remain conservative in their curricula and delivery methods. Computer science and information systems curricula ...
Janet Aisbett, Greg Gibbon
132
Voted
FLAIRS
2003
15 years 5 months ago
LIDS: Learning Intrusion Detection System
The detection of attacks against computer networks is becoming a harder problem to solve in the field of network security. The dexterity of the attackers, the developing technolog...
Mayukh Dass, James Cannady, Walter D. Potter
148
Voted
JODL
2007
126views more  JODL 2007»
15 years 3 months ago
Building rich, semantic descriptions of learning activities to facilitate reuse in digital libraries
Abstract This paper describes efforts to extend educational descriptions of learning objects to enable semantic search for suitable resources held within digital libraries and cybe...
Mark Gahegan, Ritesh Agrawal, Tawan Banchuen, Davi...
PKDD
2010
Springer
128views Data Mining» more  PKDD 2010»
15 years 2 months ago
Learning to Tag from Open Vocabulary Labels
Most approaches to classifying media content assume a fixed, closed vocabulary of labels. In contrast, we advocate machine learning approaches which take advantage of the millions...
Edith Law, Burr Settles, Tom M. Mitchell