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» Learning Rule Representations from Boolean Data
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108
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ECML
1987
Springer
15 years 4 months ago
Induction in Noisy Domains
This paper examines the induction of classification rules from examples using real-world data. Real-world data is almost always characterized by two features, which are important ...
Peter Clark, Tim Niblett
ICDAR
2009
IEEE
15 years 7 months ago
The Understanding and Structure Analyzing for Online Handwritten Chemical Formulas
In this paper, we propose a novel approach for understanding and analyzing the online handwritten chemical formulas. With the structural characteristics, semantic rules, and more ...
Xin Wang, Guangshun Shi, Jufeng Yang
101
Voted
NIPS
2008
15 years 2 months ago
Analyzing human feature learning as nonparametric Bayesian inference
Almost all successful machine learning algorithms and cognitive models require powerful representations capturing the features that are relevant to a particular problem. We draw o...
Joseph Austerweil, Thomas L. Griffiths
108
Voted
CVPR
2008
IEEE
16 years 2 months ago
Similarity-based cross-layered hierarchical representation for object categorization
This paper proposes a new concept in hierarchical representations that exploits features of different granularity and specificity coming from all layers of the hierarchy. The conc...
Sanja Fidler, Marko Boben, Ales Leonardis
WWW
2004
ACM
16 years 1 months ago
Visualising student tracking data to support instructors in web-based distance education
This paper presents a novel approach of using web log data generated by course management systems (CMS) to help instructors become aware of what is happening in distance learning ...
Riccardo Mazza, Vania Dimitrova