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IJCAI
2003
13 years 10 months ago
Monte Carlo Theory as an Explanation of Bagging and Boosting
In this paper we propose the framework of Monte Carlo algorithms as a useful one to analyze ensemble learning. In particular, this framework allows one to guess when bagging will ...
Roberto Esposito, Lorenza Saitta
MM
2009
ACM
260views Multimedia» more  MM 2009»
14 years 3 months ago
Web image mining towards universal age estimator
In this paper, we present an automatic web image mining system towards building a universal human age estimator based on facial information, which is applicable to all ethnic grou...
Bingbing Ni, Zheng Song, Shuicheng Yan
ECTEL
2006
Springer
14 years 21 days ago
A Technology Enhanced Learning Case from Birth to Deployment: Critical Analysis of the ALaRI Intranet Platform
This paper aims at illustrating the necessities that led to the decision of building a technological learning platform for the ALaRI (Advanced Learning and Research Institute) acad...
Carola Salvioni
ATAL
2004
Springer
14 years 2 months ago
Universality in Multi-Agent Systems
Much research in multi-agent systems reflects the field’s origins in classical artificial intelligence, showing how various refinements to the internal reasoning of individual a...
H. Van Dyke Parunak, Sven Brueckner, Robert Savit
CORR
2010
Springer
102views Education» more  CORR 2010»
13 years 8 months ago
On Factor Universality in Symbolic Spaces
The study of factoring relations between subshifts or cellular automata is central in symbolic dynamics. Besides, a notion of intrinsic universality for cellular automata based on ...
Laurent Boyer, Guillaume Theyssier