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ACL
2008
15 years 7 months ago
Unlexicalised Hidden Variable Models of Split Dependency Grammars
This paper investigates transforms of split dependency grammars into unlexicalised context-free grammars annotated with hidden symbols. Our best unlexicalised grammar achieves an ...
Gabriele Antonio Musillo, Paola Merlo
ICMLA
2007
15 years 7 months ago
Soft Failure Detection Using Factorial Hidden Markov Models
In modern business, educational, and other settings, it is common to provide a digital network that interconnects hardware devices for shared access by the users (e.g., in an ofï¬...
Guillaume Bouchard, Jean-Marc Andreoli
ICML
2005
IEEE
16 years 7 months ago
Active learning for Hidden Markov Models: objective functions and algorithms
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
Brigham Anderson, Andrew Moore
ICIAP
2001
Springer
16 years 6 months ago
2D Shape Recognition by Hidden Markov Models
In Computer Vision, two-dimensional shape classifcation is a complex and well studied topic, often basic for three-dimensional object recognition. Object contours are a widely cho...
Manuele Bicego, Vittorio Murino
VTS
2000
IEEE
113views Hardware» more  VTS 2000»
15 years 10 months ago
Hidden Markov and Independence Models with Patterns for Sequential BIST
We propose a novel BIST technique for non-scan sequential circuits which does not modify the circuit under test. It uses a learning algorithm to build a hardware test sequence gen...
Laurent Bréhélin, Olivier Gascuel, G...