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PPSN
2004
Springer
14 years 1 months ago
Constrained Evolutionary Optimization by Approximate Ranking and Surrogate Models
Abstract. The paper describes an evolutionary algorithm for the general nonlinear programming problem using a surrogate model. Surrogate models are used in optimization when model ...
Thomas Philip Runarsson
FSS
2010
100views more  FSS 2010»
13 years 5 months ago
Linearity testing for fuzzy rule-based models
In this paper, we introduce a linearity test for fuzzy rule-based models in the framework of time series modeling. To do so, we explore a family of statistical models, the regime ...
José Luis Aznarte, Marcelo C. Medeiros, Jos...
ACL
1996
13 years 9 months ago
A Fully Statistical Approach to Natural Language Interfaces
We present a natural language interface system which is based entirely on trained statistical models. The system consists of three stages of processing: parsing, semantic interpre...
Scott Miller, David Stallard, Robert J. Bobrow, Ri...
ALT
1998
Springer
14 years 15 days ago
PAC Learning from Positive Statistical Queries
Learning from positive examples occurs very frequently in natural learning. The PAC learning model of Valiant takes many features of natural learning into account, but in most case...
François Denis
ICDAR
1997
IEEE
14 years 14 days ago
Modeling Documents for Structure Recognition Using Generalized N-Grams
In this paper we present and discuss a novel approach to modeling logical structures of documents, based on a statistical representation of patterns in a document class. An effic...
Rolf Brugger, Abdel Wahab Zramdini, Rolf Ingold