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FLAIRS
2004
15 years 4 months ago
The Optimality of Naive Bayes
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...
Harry Zhang
EGITALY
2006
15 years 4 months ago
Recovering 3D architectural information from dense digital models of buildings
In recent years the progress of 3D scanning technologies and the consequent growing commercialization of scanners opened a large spectrum of opportunities for many professionals. ...
A. Spinelli, Fabio Ganovelli, Claudio Montani, Rob...
98
Voted
ECIS
2001
15 years 4 months ago
Data Modelling Languages: An Ontological Study
There are many data modelling languages used in today's information systems engineering environment. Some of the data modelling languages used have a degree of hype surroundi...
Simon K. Milton, Edmund Kazmierczak, Chris Keen
139
Voted
IJCAI
2001
15 years 4 months ago
Reinforcement Learning in Distributed Domains: Beyond Team Games
Using a distributed algorithm rather than a centralized one can be extremely beneficial in large search problems. In addition, the incorporation of machine learning techniques lik...
David Wolpert, Joseph Sill, Kagan Tumer
FORTE
2003
15 years 4 months ago
Correct Passive Testing Algorithms and Complete Fault Coverage
The aim of passive testing is to detect faults in a system while observing the system during normal operation, that is, without forcing the system to specialized inputs explicitly ...
Arun N. Netravali, Krishan K. Sabnani, Ramesh Visw...
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