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» Dynamics Modeling and Culling
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ICMLA
2007
15 years 8 months ago
Maximum Likelihood Quantization of Genomic Features Using Dynamic Programming
Dynamic programming is introduced to quantize a continuous random variable into a discrete random variable. Quantization is often useful before statistical analysis or reconstruct...
Mingzhou (Joe) Song, Robert M. Haralick, Sté...
ESANN
2004
15 years 8 months ago
Dynamic functional-link neural networks genetically evolved applied to system identification
: The contribution concerns the design of a generalised functional-link neural network with internal dynamics and its applicability to system identification by means of multi-input...
Teodor Marcu, Birgit Köppen-Seliger
IADIS
2003
15 years 8 months ago
DOWL: A Dynamic Ontology Language
Ontologies in a web setting, particularly those used in a group context (such as a virtual community), need to be flexible and open to changes that reflect the evolution of knowle...
John Avery, John Yearwood
ICML
2010
IEEE
15 years 8 months ago
Learning the Linear Dynamical System with ASOS
We develop a new algorithm, based on EM, for learning the Linear Dynamical System model. Called the method of Approximated Second-Order Statistics (ASOS) our approach achieves dra...
James Martens
IEPOL
2008
64views more  IEPOL 2008»
15 years 6 months ago
Demand distribution dynamics in creative industries: The market for books in Italy
We study the distribution dynamics of the demand for books in Italy. We find that for each of three broad sub-markets in which the book publishing industry can be classified - Ita...
Edoardo Gaffeo, Antonello E. Scorcu, Laura Vici