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» Language model adaptation using Random Forests
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TSMC
2010
13 years 3 months ago
Extending the Adaptability of Reference Models
Reference models are an important aid for business process modeling and design. Their aim is to capture domain knowledge and assist in the design of enterprise specific business pr...
Iris Reinhartz-Berger, Pnina Soffer, Arnon Sturm
AAAI
1997
13 years 10 months ago
Effective Bayesian Inference for Stochastic Programs
In this paper, we propose a stochastic version of a general purpose functional programming language as a method of modeling stochastic processes. The language contains random choi...
Daphne Koller, David A. McAllester, Avi Pfeffer
EMNLP
2009
13 years 6 months ago
Graphical Models over Multiple Strings
We study graphical modeling in the case of stringvalued random variables. Whereas a weighted finite-state transducer can model the probabilistic relationship between two strings, ...
Markus Dreyer, Jason Eisner
ITA
2006
13 years 8 months ago
Probabilistic models for pattern statistics
In this work we study some probabilistic models for the random generation of words over a given alphabet used in the literature in connection with pattern statistics. Our goal is t...
Massimiliano Goldwurm, Roberto Radicioni
MSWIM
2003
ACM
14 years 2 months ago
Parallel adaptive mobile web clipping
– Wireless mobile access to the Internet is an indispensable tool for private and corporate users alike; but both industry and academia recognize the need for better service. Imp...
Alex Vrenios