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ITS
2010
Springer
157views Multimedia» more  ITS 2010»
14 years 1 months ago
A Computational Model of Accelerated Future Learning through Feature Recognition
Accelerated future learning, in which learning proceeds more effectively and more rapidly because of prior learning, is considered to be one of the most interesting measures of ro...
Nan Li, William W. Cohen, Kenneth R. Koedinger
JUCS
2002
125views more  JUCS 2002»
13 years 8 months ago
Mental Models to Represent Dynamics - Using the Example "factorial"
: To use hypertext/hypermedia elements in teaching at universities an author not only needs knowledge of the technological possibilities. In addition he/she has to renew a here so ...
Gisbert Dittrich
CIIA
2009
13 years 9 months ago
Dynamic Scheduling in Petroleum Process using Reinforcement Learning
Petroleum industry production systems are highly automatized. In this industry, all functions (e.g., planning, scheduling and maintenance) are automated and in order to remain comp...
Nassima Aissani, Bouziane Beldjilali
ICML
2009
IEEE
14 years 9 months ago
Incorporating domain knowledge into topic modeling via Dirichlet Forest priors
Users of topic modeling methods often have knowledge about the composition of words that should have high or low probability in various topics. We incorporate such domain knowledg...
David Andrzejewski, Xiaojin Zhu, Mark Craven
AAAI
1990
13 years 9 months ago
Backward Model Tracing: An Explanation-Based Approach for Reconstructing Student Reasoning
An original methodology, called backward model tracing to model student performance which features a profitable integration of the bug collection and bug construction techniques i...
Danilo Fum, Paolo Giangrandi, Carlo Tasso