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ECAI
2000
Springer
15 years 10 months ago
Learning Efficiently with Neural Networks: A Theoretical Comparison between Structured and Flat Representations
Abstract. We are interested in the relationship between learning efficiency and representation in the case of supervised neural networks for pattern classification trained by conti...
Marco Gori, Paolo Frasconi, Alessandro Sperduti
AAAI
2007
15 years 8 months ago
Manifold Denoising as Preprocessing for Finding Natural Representations of Data
A natural representation of data is given by the parameters which generated the data. If the space of parameters is continuous, then we can regard it as a manifold. In practice, w...
Matthias Hein, Markus Maier
KRDB
2003
111views Database» more  KRDB 2003»
15 years 7 months ago
A Framework for Answering Queries using Multiple Representation and Inference Techniques
The Polylog framework is designed to provide a language for efficiently automating complex queries of information represented in multiple formats. A Polylog program contains a set...
Nicholas L. Cassimatis
ISMB
1993
15 years 7 months ago
Computationally Efficient Cluster Representation in Molecular Sequence Megaclassification
Molecular sequence megaclassification is a technique for automated protein sequence analysis and annotation. Implementation of the method has been limited by the need to store and...
David J. States, Nomi L. Harris, Lawrence Hunter
GECCO
2006
Springer
155views Optimization» more  GECCO 2006»
15 years 10 months ago
Comparison of genetic representation schemes for scheduling soft real-time parallel applications
This paper presents a hybrid technique that combines List Scheduling (LS) with Genetic Algorithms (GA) for constructing non-preemptive schedules for soft real-time parallel applic...
Yoginder S. Dandass, Amit C. Bugde