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ECAI
2000
Springer
15 years 1 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
ASC
2006
14 years 10 months ago
Speeding up the learning of equivalence classes of bayesian network structures
For some time, learning Bayesian networks has been both feasible and useful in many problems domains. Recently research has been done on learning equivalence classes of Bayesian n...
Rónán Daly, Qiang Shen, J. Stuart Ai...
VLDB
1999
ACM
147views Database» more  VLDB 1999»
15 years 2 months ago
Data-Driven, One-To-One Web Site Generation for Data-Intensive Applications
A data-driven approach can be fruitfully used in the speci cation and automatic generation of data-intensive Web applications, i.e., applications which make large amounts of data ...
Stefano Ceri, Piero Fraternali, Stefano Paraboschi
VMV
2001
132views Visualization» more  VMV 2001»
14 years 11 months ago
Optimal Memory Constrained Isosurface Extraction
Efficient isosurface extraction from large volume data sets requires special algorithms and data structures. Such algorithms typically either use a hierarchical spatial subdivisio...
Dietmar Saupe, Jürgen Toelke
ISBRA
2007
Springer
15 years 4 months ago
Reconstruction of 3D Structures from Protein Contact Maps
Proteins are large organic compounds made of amino acids arranged in a linear chain (primary structure). Most proteins fold into unique threedimensional (3D) structures called inte...
Marco Vassura, Luciano Margara, Filippo Medri, Pie...