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» Active learning for directed exploration of complex systems
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ICALT
2007
IEEE
14 years 1 months ago
Visualizing Narrative Structures and Learning Style Information in Personalized e-Learning Systems
This paper proposes a novel approach to the visualization of complex, but interrelated, sets of information to ease user cognition. Principally, it explores the potential of provi...
Fionán Peter Williams, Owen Conlan
AAAI
2008
13 years 9 months ago
Active Learning for Pipeline Models
For many machine learning solutions to complex applications, there are significant performance advantages to decomposing the overall task into several simpler sequential stages, c...
Dan Roth, Kevin Small
ECML
2006
Springer
13 years 10 months ago
Margin-Based Active Learning for Structured Output Spaces
In many complex machine learning applications there is a need to learn multiple interdependent output variables, where knowledge of these interdependencies can be exploited to impr...
Dan Roth, Kevin Small
PERCOM
2004
ACM
14 years 6 months ago
Models, Protocols, and Architectures for Secure Pervasive Computing: Challenges and Research Directions
We explore the challenges and research directions in building models, protocols and architectures to support security in pervasive computing environments. We argue that to be succ...
Roshan K. Thomas, Ravi S. Sandhu
MTA
2006
173views more  MTA 2006»
13 years 6 months ago
Active learning in very large databases
Abstract. Query-by-example and query-by-keyword both suffer from the problem of "aliasing," meaning that example-images and keywords potentially have variable interpretat...
Navneet Panda, Kingshy Goh, Edward Y. Chang