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ESANN
2006
15 years 8 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
WSC
2004
15 years 8 months ago
Better Selection of the Best
We present a new method of selecting the best of several competing system designs on the basis of expected steadystate performance. The method uses a new form of timeseries bootst...
Huaiyu Harry Ma, Thomas R. Willemain
ACL
1998
15 years 7 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
UAI
1998
15 years 7 months ago
Measure Selection: Notions of Rationality and Representation Independence
We take another look at the general problem of selecting a preferred probability measure among those that comply with some given constraints. The dominant role that entropy maximi...
Manfred Jaeger
IJCAI
1997
15 years 7 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