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» Modeling Classification and Inference Learning
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COMPSYSTECH
2007
15 years 6 months ago
A refinement model with information granulation focused on difficult to distinguish cases
: The paper proposes a different approach to data modeling. Analogous to the rejection method, where the misclassifications are removed and manually evaluated, we focus here on dif...
Plamena Andreeva, Plamen Andreev, Maya Dimitrova, ...
AAAI
2008
15 years 4 months ago
Hybrid Markov Logic Networks
Markov logic networks (MLNs) combine first-order logic and Markov networks, allowing us to handle the complexity and uncertainty of real-world problems in a single consistent fram...
Jue Wang, Pedro Domingos
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
16 years 2 months ago
Web usage mining based on probabilistic latent semantic analysis
The primary goal of Web usage mining is the discovery of patterns in the navigational behavior of Web users. Standard approaches, such as clustering of user sessions and discoveri...
Xin Jin, Yanzan Zhou, Bamshad Mobasher
ACMIDC
2008
15 years 4 months ago
Designing with and for children with special needs: an inclusionary model
In order to design for children with special needs, we need to design with children with special needs. The inclusionary model proposed in this paper suggests that appropriate inv...
Mona Leigh Guha, Allison Druin, Jerry Alan Fails
NIPS
1992
15 years 3 months ago
Explanation-Based Neural Network Learning for Robot Control
How can artificial neural nets generalize better from fewer examples? In order to generalize successfully, neural network learning methods typically require large training data se...
Tom M. Mitchell, Sebastian Thrun