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APIN
2004
116views more  APIN 2004»
13 years 8 months ago
Neural Learning from Unbalanced Data
This paper describes the result of our study on neural learning to solve the classification problems in which data is unbalanced and noisy. We conducted the study on three differen...
Yi Lu Murphey, Hong Guo, Lee A. Feldkamp
NC
1998
140views Neural Networks» more  NC 1998»
13 years 10 months ago
Recurrent Neural Networks with Iterated Function Systems Dynamics
We suggest a recurrent neural network (RNN) model with a recurrent part corresponding to iterative function systems (IFS) introduced by Barnsley 1] as a fractal image compression ...
Peter Tiño, Georg Dorffner
FLAIRS
2004
13 years 10 months ago
An Application of Neural Networks to Sequence Analysis and Genre Identification
This study borrowed sequence analysis techniques from the genetic sciences and applied them to a similar problem in email filtering and web searching. Genre identification is the ...
David Bisant
ISSRE
2006
IEEE
14 years 2 months ago
BPEL4WS Unit Testing: Test Case Generation Using a Concurrent Path Analysis Approach
BPEL is a language that could express complex concurrent behaviors. This paper presents a novel method of BPEL test case generation, which is based on concurrent path analysis. Th...
Jun Yan, Zhong Jie Li, Yuan Yuan, Wei Sun, Jian Zh...
FLAIRS
2004
13 years 10 months ago
Indirect Encoding Evolutionary Learning Algorithm for the Multilayer Morphological Perceptron
This article describes an indirectly encoded evolutionary learning algorithm to train morphological neural networks. The indirect encoding method is an algorithm in which the trai...
Jorge L. Ortiz, Roberto Piñeiro