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» Adaptive Learning from Evolving Data Streams
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DEBU
2000
95views more  DEBU 2000»
15 years 3 months ago
Accurately and Reliably Extracting Data from the Web: A Machine Learning Approach
A critical problem in developing information agents for the Web is accessing data that is formatted for human use. We have developed a set of tools for extracting data from web si...
Craig A. Knoblock, Kristina Lerman, Steven Minton,...
123
Voted
AIED
2005
Springer
15 years 9 months ago
Inferring learning and attitudes from a Bayesian Network of log file data
A student's goals and attitudes while interacting with a tutor are typically unseen and unknowable. However their outward behavior (e.g. problem-solving time, mistakes and hel...
Ivon Arroyo, Beverly Park Woolf
142
Voted
ASC
2008
15 years 3 months ago
Info-fuzzy algorithms for mining dynamic data streams
Most data mining algorithms assume static behavior of the incoming data. In the real world, the situation is different and most continuously collected data streams are generated by...
Lior Cohen, Gil Avrahami, Mark Last, Abraham Kande...
CORR
2008
Springer
147views Education» more  CORR 2008»
15 years 3 months ago
A Minimum Relative Entropy Principle for Learning and Acting
This paper proposes a method to construct an adaptive agent that is universal with respect to a given class of experts, where each expert is designed specifically for a particular...
Pedro A. Ortega, Daniel A. Braun
119
Voted
MM
2003
ACM
118views Multimedia» more  MM 2003»
15 years 8 months ago
PROMISE: peer-to-peer media streaming using CollectCast
We present the design, implementation, and evaluation of PROMISE, a novel peer-to-peer media streaming system encompassing the key functions of peer lookup, peer-based aggregated ...
Mohamed Hefeeda, Ahsan Habib, Boyan Botev, Dongyan...