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NN
2000
Springer
177views Neural Networks» more  NN 2000»
13 years 7 months ago
Independent component analysis: algorithms and applications
A fundamental problem in neural network research, as well as in many other disciplines, is finding a suitable representation of multivariate data, i.e. random vectors. For reasons...
Aapo Hyvärinen, Erkki Oja
ALGORITHMICA
2005
76views more  ALGORITHMICA 2005»
13 years 7 months ago
Characterizing History Independent Data Structures
We consider history independent data structures as proposed for study by Naor and Teague [3]. In a history independent data structure, nothing can be learned from the memory repre...
Jason D. Hartline, Edwin S. Hong, Alexander E. Moh...
AAAI
2006
13 years 9 months ago
Domain-Independent Structured Duplicate Detection
The scalability of graph-search algorithms can be greatly extended by using external memory, such as disk, to store generated nodes. We consider structured duplicate detection, an...
Rong Zhou, Eric A. Hansen
ICANN
2001
Springer
14 years 3 days ago
Independent Variable Group Analysis
Humans tend to group together related properties in order to understand complex phenomena. When modeling large problems with limited representational resources, it is important to...
Krista Lagus, Esa Alhoniemi, Harri Valpola
IOR
2008
90views more  IOR 2008»
13 years 7 months ago
Optimal Position-Based Warehouse Ordering in Divergent Two-Echelon Inventory Systems
: A continuous review two-echelon inventory system with a central warehouse and a number of non-identical retailers is considered. The retailers face independent Poisson demand and...
Sven Axsäter, Johan Marklund