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EOR
2007
101views more  EOR 2007»
15 years 6 months ago
Comprehensible credit scoring models using rule extraction from support vector machines
In recent years, Support Vector Machines (SVMs) were successfully applied to a wide range of applications. Their good performance is achieved by an implicit non-linear transformat...
David Martens, Bart Baesens, Tony Van Gestel, Jan ...
AI
2011
Springer
15 years 1 months ago
Relational preference rules for control
Much like relational probabilistic models, the need for relational preference models arises naturally in real-world applications where the set of object classes is fixed, but obj...
Ronen I. Brafman
LREC
2010
202views Education» more  LREC 2010»
15 years 7 months ago
United we Stand: Improving Sentiment Analysis by Joining Machine Learning and Rule Based Methods
In the past, we have succesfully used machine learning approaches for sentiment analysis. In the course of those experiments, we observed that our machine learning method, althoug...
Vassiliki Rentoumi, Stefanos Petrakis, Manfred Kle...
ACL
2006
15 years 7 months ago
The Benefit of Stochastic PP Attachment to a Rule-Based Parser
To study PP attachment disambiguation as a benchmark for empirical methods in natural language processing it has often been reduced to a binary decision problem (between verb or n...
Kilian A. Foth, Wolfgang Menzel
EUSFLAT
2003
107views Fuzzy Logic» more  EUSFLAT 2003»
15 years 7 months ago
Decision-theoretic approaches in fuzzy rule generation for diagnosis and fault detection problems
A typical task in technical fault detection or medical diagnosis problems is to discriminate normal behavior from one or more types of abnormal behavior by means of different meas...
Sebastian Beck, Ralf Mikut, Jens Jäkel, Georg...