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SIGIR
2004
ACM
16 years 16 days ago
A nonparametric hierarchical bayesian framework for information filtering
Information filtering has made considerable progress in recent years.The predominant approaches are content-based methods and collaborative methods. Researchers have largely conc...
Kai Yu, Volker Tresp, Shipeng Yu
ITS
2004
Springer
99views Multimedia» more  ITS 2004»
16 years 14 days ago
Promoting Effective Help-Seeking Behavior Through Declarative Instruction
The ability to use help-resources efficiently is an important skill in any learning environment, whether the student is in a traditional classroom or is using an Intelligent Tutor...
Ido Roll, Vincent Aleven, Kenneth R. Koedinger
NIPS
2004
15 years 8 months ago
Maximising Sensitivity in a Spiking Network
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
Anthony J. Bell, Lucas C. Parra
AI
2008
Springer
15 years 7 months ago
The well-designed child
This article is inspired by recent psychological studies confirming that a child is not born a blank slate but has important innate capabilities. An important part of the "le...
John McCarthy
JASIS
2000
143views more  JASIS 2000»
15 years 6 months ago
Discovering knowledge from noisy databases using genetic programming
s In data mining, we emphasize the need for learning from huge, incomplete and imperfect data sets (Fayyad et al. 1996, Frawley et al. 1991, Piatetsky-Shapiro and Frawley, 1991). T...
Man Leung Wong, Kwong-Sak Leung, Jack C. Y. Cheng