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DIS
2010
Springer
14 years 8 months ago
Speeding Up and Boosting Diverse Density Learning
Abstract. In multi-instance learning, each example is described by a bag of instances instead of a single feature vector. In this paper, we revisit the idea of performing multi-ins...
James R. Foulds, Eibe Frank
PLDI
2005
ACM
15 years 3 months ago
Automatic pool allocation: improving performance by controlling data structure layout in the heap
This paper describes Automatic Pool Allocation, a transformation framework that segregates distinct instances of heap-based data structures into seperate memory pools and allows h...
Chris Lattner, Vikram S. Adve
FLAIRS
2003
14 years 11 months ago
Lessons Learned using CBR for Customer Support
Three CBR systems were created to improve customer support at General Electric Appliances. The first tool helped call takers answer customers’ questions by using a case base of ...
William Cheetham
ECAI
2008
Springer
14 years 11 months ago
Fighting Knowledge Acquisition Bottleneck with Argument Based Machine Learning
Knowledge elicitation is known to be a difficult task and thus a major bottleneck in building a knowledge base. Machine learning has long ago been proposed as a way to alleviate th...
Martin Mozina, Matej Guid, Jana Krivec, Aleksander...
CE
2008
89views more  CE 2008»
14 years 9 months ago
An intelligent e-learning system based on learner profiling and learning resources adaptation
Taking advantage of the continuously improving, web-based learning systems plays an important role for self-learning, especially in the case of working people. Nevertheless, learn...
Paraskevi K. Tzouveli, Phivos Mylonas, Stefanos D....