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» Learning about and through Empirical Modelling
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CVPR
2007
IEEE
14 years 2 months ago
Learning Generative Models via Discriminative Approaches
Generative model learning is one of the key problems in machine learning and computer vision. Currently the use of generative models is limited due to the difficulty in effective...
Zhuowen Tu
ICSTM
2000
164views Management» more  ICSTM 2000»
13 years 9 months ago
Building Sustainable Interest in Modelling in the Classroom
System Dynamics has had a tough time breaking into High Schools. Like all good ideas the most difficult part is convincing those who would most benefit that this new approach is i...
Gordon Kubanek
ICWL
2005
Springer
14 years 1 months ago
The Research of Mining Association Rules Between Personality and Behavior of Learner Under Web-Based Learning Environment
: Discovering the relationship between behavior and personality of learner in the web-based learning environment is a key to guide learners in the learning process. This paper prop...
Jin Du, Qinghua Zheng, Haifei Li, Wenbin Yuan
ATAL
2008
Springer
13 years 10 months ago
Approximate predictive state representations
Predictive state representations (PSRs) are models that represent the state of a dynamical system as a set of predictions about future events. The existing work with PSRs focuses ...
Britton Wolfe, Michael R. James, Satinder P. Singh
KDD
2002
ACM
157views Data Mining» more  KDD 2002»
14 years 8 months ago
Learning nonstationary models of normal network traffic for detecting novel attacks
Traditional intrusion detection systems (IDS) detect attacks by comparing current behavior to signatures of known attacks. One main drawback is the inability of detecting new atta...
Matthew V. Mahoney, Philip K. Chan