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COLING
2000
15 years 8 months ago
Learning Word Clusters from Data Types
The paper illustrates a linguistic knowledge acquisition model making use of data types, innite memory, and an inferential mechanism for inducing new information from known data. ...
Paolo Allegrini, Simonetta Montemagni, Vito Pirrel...
RE
2010
Springer
15 years 1 months ago
Domain Engineering with Event-B: Some Lessons We Learned
Domain modeling is an important aspect of software engineering. This paper presents our experience of modeling land transportation domain in the formal framework of Event-B. The do...
Atif Mashkoor, Jean-Pierre Jacquot
ICML
1996
IEEE
16 years 7 months ago
Learning Goal Oriented Bayesian Networks for Telecommunications Risk Management
This paper discusses issues related to Bayesian network model learning for unbalanced binary classification tasks. In general, the primary focus of current research on Bayesian ne...
Kazuo J. Ezawa, Moninder Singh, Steven W. Norton
CHI
1998
ACM
15 years 11 months ago
New Media, New Practices: Experiences in Open Learning Course Design
We explore some of the complex issues surrounding the design and use of multimedia and Internet-based learning resources in distance education courses. We do so by analysing our e...
Tamara Sumner, Josie Taylor
BMCBI
2007
105views more  BMCBI 2007»
15 years 6 months ago
Constrained hidden Markov models for population-based haplotyping
abstract Niels Landwehr1 , Taneli Mielik¨ainen2 , Lauri Eronen2 , Hannu Toivonen1,2 , and Heikki Mannila2 1 Machine Learning Lab, Dept. of Comp. Science, University of Freiburg, G...
Niels Landwehr, Taneli Mielikäinen, Lauri Ero...