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SSPR
2000
Springer
13 years 11 months ago
Encoding Nondeterministic Finite-State Tree Automata in Sigmoid Recursive Neural Networks
Abstract. Recently, a number of authors have explored the use of recursive recursive neural nets (RNN) for the adaptive processing of trees or tree-like structures. One of the most...
Mikel L. Forcada, Rafael C. Carrasco
ML
2011
ACM
179views Machine Learning» more  ML 2011»
13 years 2 months ago
Neural networks for relational learning: an experimental comparison
In the last decade, connectionist models have been proposed that can process structured information directly. These methods, which are based on the use of graphs for the representa...
Werner Uwents, Gabriele Monfardini, Hendrik Blocke...
BSN
2009
IEEE
189views Sensor Networks» more  BSN 2009»
13 years 5 months ago
Neural Network Gait Classification for On-Body Inertial Sensors
Clinicians have determined that continuous ambulatory monitoring provides significant preventative and diagnostic benefit, especially to the aged population. In this paper we descr...
Mark A. Hanson, Harry C. Powell Jr., Adam T. Barth...
IDA
2008
Springer
13 years 7 months ago
Symbolic methodology for numeric data mining
Currently statistical and artificial neural network methods dominate in data mining applications. Alternative relational (symbolic) data mining methods have shown their effectivene...
Boris Kovalerchuk, Evgenii Vityaev
IEAAIE
2010
Springer
13 years 5 months ago
Constructive Neural Networks to Predict Breast Cancer Outcome by Using Gene Expression Profiles
Abstract. Gene expression profiling strategies have attracted considerable interest from biologist due to the potential for high throughput analysis of hundreds of thousands of gen...
Daniel Urda, José Luis Subirats, Leonardo F...