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IFIP12
2008
15 years 8 months ago
Bayesian Networks Optimization Based on Induction Learning Techniques
Obtaining a bayesian network from data is a learning process that is divided in two steps: structural learning and parametric learning. In this paper, we define an automatic learni...
Paola Britos, Pablo Felgaer, Ramón Garc&iac...
ACL
2006
15 years 8 months ago
An Account for Compound Prepositions in Farsi
There are some sorts of `Preposition + Noun' combinations in Farsi that apparently a Prepositional Phrase almost behaves as Compound Prepositions. As they are not completely ...
Zahra Abolhassani Chime
FCS
2006
15 years 8 months ago
Matrix L-System and Paper Folding with Scissors
Abstract A valiant of L-system called `matrix L-system' is introduced to model the folding process of a square paper into small polygons (rectangles or triangles). Using this ...
Katsushi Inoue, Akira Ito, Yue Wang
204
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NIPS
2001
15 years 8 months ago
A Variational Approach to Learning Curves
We combine the replica approach from statistical physics with a variational approach to analyze learning curves analytically. We apply the method to Gaussian process regression. A...
Dörthe Malzahn, Manfred Opper
EACL
1993
ACL Anthology
15 years 8 months ago
Using an Annotated Corpus as a Stochastic Grammar
In Data Oriented Parsing (DOP), an annotated corpus is used as a stochastic grammar. An input string is parsed by combining subtrees from the corpus. As a consequence, one parse t...
Rens Bod