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NECO
2006
118views more  NECO 2006»
15 years 6 months ago
Consistency of Pseudolikelihood Estimation of Fully Visible Boltzmann Machines
Boltzmann machine is a classic model of neural computation, and a number of methods have been proposed for its estimation. Most methods are plagued by either very slow convergence...
Aapo Hyvärinen
TCS
2002
15 years 5 months ago
Unsupervised learning in neural computation
In this article, we consider unsupervised learning from the point of view of applying neural computation on signal and data analysis problems. The article is an introductory surve...
Erkki Oja
SIGMOD
2003
ACM
127views Database» more  SIGMOD 2003»
16 years 6 months ago
Closing the key loophole in MLS databases
: There has been an abundance of research within the last couple of decades in the area of multilevel secure (MLS) databases. Recent work in this field deals with the processing of...
Nenad Jukic, Svetlozar Nestorov, Susan V. Vrbsky
ICSE
2005
IEEE-ACM
16 years 6 months ago
The challenges of software engineering education
We discuss the technical skills that a software engineer should possess. We take the viewpoint of a school of engineering and put the software engineer's education in the wid...
Carlo Ghezzi, Dino Mandrioli
ESWS
2009
Springer
16 years 25 days ago
Neighborhood-Based Tag Prediction
We consider the problem of tag prediction in collaborative tagging systems where users share and annotate resources on the Web. We put forward HAMLET, a novel approach to automatic...
Adriana Budura, Sebastian Michel, Philippe Cudr&ea...