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IJCAI
2001
15 years 9 months ago
Leveraging Data About Users in General in the Learning of Individual User Models
Models of computer users that are learned on the basis of data can make use of two types of information: data about users in general and data about the current individual user. Fo...
Anthony Jameson, Frank Wittig
MASCOTS
2003
15 years 9 months ago
Computer Virus Propagation Models
Abstract. The availability of reliable models of computer virus propagation would prove useful in a number of ways, in order both to predict future threats, and to develop new cont...
Giuseppe Serazzi, Stefano Zanero
NAACL
2003
15 years 9 months ago
A Generative Probabilistic OCR Model for NLP Applications
In this paper, we introduce a generative probabilistic optical character recognition (OCR) model that describes an end-to-end process in the noisy channel framework, progressing f...
Okan Kolak, William J. Byrne, Philip Resnik
ACL
1998
15 years 9 months ago
Maximum Entropy Model Learning of the Translation Rules
This paper proposes a learning method of translation rules from parallel corpora. This method applies the maximum entropy principle to a probabilistic model of translation rules. ...
Kengo Sato, Masakazu Nakanishi
EUSFLAT
2007
108views Fuzzy Logic» more  EUSFLAT 2007»
15 years 9 months ago
Homomorphisms of Fuzzy Logic Models Based on Sets With Similarities
We investigate interpretations ψ D of formulas ψ in a first order fuzzy logic in models D which are based on Ω-sets, i.e. sets with similarity relations with values in a comp...
Jiri Mockor