Emergence in Problem Solving, Classification and Machine Learning

Timisoara, Romania September 26-September 29

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http://doi.ieeecomputersociety.org/10.1109/SYNASC.2006.37

Eighth International Symposium on Sym ...

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	ASCII Text	x
	Joel Quinqueton, "Emergence in Problem Solving, Classification and Machine Learning," Symbolic and Numeric Algorithms for Scientific Computing, International Symposium on, pp. 5-9, Eighth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC'06), 2006.

	BibTex	x
	@article{ 10.1109/SYNASC.2006.37, author = {Joel Quinqueton}, title = {Emergence in Problem Solving, Classification and Machine Learning}, journal ={Symbolic and Numeric Algorithms for Scientific Computing, International Symposium on}, volume = {0}, year = {2006}, isbn = {0-7695-2740-X}, pages = {5-9}, doi = {http://doi.ieeecomputersociety.org/10.1109/SYNASC.2006.37}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Symbolic and Numeric Algorithms for Scientific Computing, International Symposium on TI - Emergence in Problem Solving, Classification and Machine Learning SN - 0-7695-2740-X SP5 EP9 A1 - Joel Quinqueton, PY - 2006 KW - null VL - 0 JA - Symbolic and Numeric Algorithms for Scientific Computing, International Symposium on ER -

Joel Quinqueton, LIRMM, France

Emergence is usually the way in which a collective organisation behaves differently than the sum of its elements. We propose here an overview of different ways this paradgm is used in several fields of Artificial Intelligence and we propose some theoretical tracks relying on some works in thye field of Machine Learning.

Citation:

Joel Quinqueton, "Emergence in Problem Solving, Classification and Machine Learning," synasc, pp.5-9, Eighth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC'06), 2006

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