5615 search results - page 249 / 1123 » Active Learner Modelling |
141
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DAGSTUHL
1998
15 years 5 months ago
1998
After brie y reviewing the basic notions and terminology of active rules and relating them to production rules and deductive rules, respectively, we survey a number of formal appro...
145
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NIPS
2000
15 years 5 months ago
2000
Bayesian networks are graphical representations of probability distributions. In virtually all of the work on learning these networks, the assumption is that we are presented with...
126
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EMNLP
2009
15 years 2 months ago
2009
Methods that learn from prior information about input features such as generalized expectation (GE) have been used to train accurate models with very little effort. In this paper,...
119
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WWW
2004
ACM
16 years 5 months ago
2004
ACM
Defining dependency models is sometimes an easier, more intuitive way for ontology representation than defining reactive rectly, as it provides a higher level of abstraction. We w...
119
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CAISE
2003
Springer
15 years 9 months ago
2003
Springer
One of the central activities in developing requirements for business processes is that of modelling the constituent parts of both existing and future processes. This position pape...