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IDEAL
2004
Springer
15 years 10 months ago
Wrapper for Ranking Feature Selection
We propose a new feature selection criterion not based on calculated measures between attributes, or complex and costly distance calculations. Applying a wrapper to the output of a...
Roberto Ruiz, Jesús S. Aguilar-Ruiz, Jos&ea...
ESANN
2008
15 years 6 months ago
Selection of important input variables for RBF network using partial derivatives
In regression problems, making accurate predictions is often the primary goal. Also, relevance of inputs in the prediction of an output would be valuable information in many cases....
Jarkko Tikka, Jaakko Hollmén
ESANN
2006
15 years 6 months ago
Using Regression Error Characteristic Curves for Model Selection in Ensembles of Neural Networks
Regression Error Characteristic (REC) analysis is a technique for evaluation and comparison of regression models that facilitates the visualization of the performance of many regre...
Aloísio Carlos de Pina, Gerson Zaverucha
ACL
1998
15 years 6 months ago
General-to-Specific Model Selection for Subcategorization Preference
This paper proposes a novel method for learning probability models of subcategorization preference of verbs. We consider the issues of case dependencies and noun class generalizat...
Takehito Utsuro, Takashi Miyata, Yuji Matsumoto
IJCAI
1997
15 years 6 months ago
A Learning System for Selective Dissemination of Information
New methods and new systems are needed to lter or to selectively distribute the increasing volume of electronic informationbeing produced nowadays. An e ective information ltering...
Gianni Amati, Fabio Crestani, Flavio Ubaldini