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DAGSTUHL
2004
13 years 6 months ago
Modelling Learning Subjects as Relationships
This paper describes a novel intellectual structure for the subject space of material designed for selective autodidactic learning in a large knowledge base. This structure is base...
Martin Doerr
AAAI
2006
13 years 6 months ago
Subjective Mapping
Extracting a map from a stream of experience is a key problem in robotics and artificial intelligence in general. We propose a technique, called subjective mapping, that seeks to ...
Michael H. Bowling, Dana F. Wilkinson, Ali Ghodsi
KDD
2007
ACM
191views Data Mining» more  KDD 2007»
14 years 5 months ago
Modeling relationships at multiple scales to improve accuracy of large recommender systems
The collaborative filtering approach to recommender systems predicts user preferences for products or services by learning past useritem relationships. In this work, we propose no...
Robert M. Bell, Yehuda Koren, Chris Volinsky
SBP
2010
Springer
13 years 11 months ago
Calibrating Subjective Probabilities Using Hierarchical Bayesian Models
Abstract. A body of psychological research has examined the correspondence between a judge’s subjective probability of an event’s outcome and the event’s actual outcome. The ...
Edgar C. Merkle
KDD
2006
ACM
155views Data Mining» more  KDD 2006»
14 years 5 months ago
Camouflaged fraud detection in domains with complex relationships
We describe a data mining system to detect frauds that are camouflaged to look like normal activities in domains with high number of known relationships. Examples include accounti...
Sankar Virdhagriswaran, Gordon Dakin