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UAI
1993
15 years 8 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
ENTCS
2007
101views more  ENTCS 2007»
15 years 7 months ago
Semantic Determinism and Functional Logic Program Properties
In modern functional logic languages like Curry or Toy, programs are possibly non-confluent and nonterminating rewrite systems, defining possibly non-deterministic non-strict fu...
José Miguel Cleva, Francisco Javier L&oacut...
KES
2006
Springer
15 years 7 months ago
Automatic Discovery of Basic Motion Classification Rules
There is a keen demand for a method of sharing better work practices in a factory because better work practices are the key to improving productivity. We have developed a system th...
Satoshi Hori, Mizuho Sasaki, Hirokazu Taki
EMNLP
2009
15 years 5 months ago
Re-Ranking Models Based-on Small Training Data for Spoken Language Understanding
The design of practical language applications by means of statistical approaches requires annotated data, which is one of the most critical constraint. This is particularly true f...
Marco Dinarelli, Alessandro Moschitti, Giuseppe Ri...
EOR
2011
85views more  EOR 2011»
15 years 2 months ago
Optimizing departure times in vehicle routes
Most solution methods for the vehicle routing problem with time windows (VRPTW) develop routes from the earliest feasible departure time. In practice, however, temporal traffic co...
A. L. Kok, E. W. Hans, J. M. J. Schutten