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UAI
1993
14 years 11 months ago
Using Causal Information and Local Measures to Learn Bayesian Networks
In previous work we developed a method of learning Bayesian Network models from raw data. This method relies on the well known minimal description length (MDL) principle. The MDL ...
Wai Lam, Fahiem Bacchus
LOBJET
2000
140views more  LOBJET 2000»
14 years 9 months ago
Early Measures for UML Class Diagrams
:Building software models before implementing them has become widely accepted in the software industry. Object models, graphically represented by class diagrams, lay the foundation...
Marcela Genero, Mario Piattini, Coral Calero
ACL
2011
14 years 1 months ago
Effective Measures of Domain Similarity for Parsing
It is well known that parsing accuracy suffers when a model is applied to out-of-domain data. It is also known that the most beneficial data to parse a given domain is data that ...
Barbara Plank, Gertjan van Noord
ICN
2009
Springer
15 years 4 months ago
Measuring Route Diversity in the Internet from Remote Vantage Points
Recent works on modeling the Internet topology [8, 9] have highlighted how the complexity of relationships between Autonomous Systems (ASes) can not be oversimplified without sac...
Andrea Di Menna, Tiziana Refice, Luca Cittadini, G...
BCSHCI
2009
14 years 11 months ago
Measuring the influence of social abilities on acceptance of an interface robot and a screen agent by elderly users
Personal robots and screen agents can be equipped with social abilities to facilitate interaction. This paper describes our research on the influence of these abilities on elderly...
Marcel Heerink, Ben J. A. Kröse, Bob J. Wieli...