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» Adaptive inference on general graphical models
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69
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BIBE
2005
IEEE
115views Bioinformatics» more  BIBE 2005»
15 years 3 months ago
GOMIT: A Generic and Adaptive Annotation Algorithm Based on Gene Ontology Term Distributions
We address the issue of providing highly informative annotations using information revealed by the structured vocabularies of Gene Ontology (GO). For a target, a set of candidate ...
In-Yee Lee, Jan-Ming Ho, Ming-Syan Chen
DCC
1992
IEEE
15 years 1 months ago
Constructing Word-Based Text Compression Algorithms
Text compression algorithms are normally defined in terms of a source alphabet of 8-bit ASCII codes. We consider choosing to be an alphabet whose symbols are the words of Englis...
R. Nigel Horspool, Gordon V. Cormack
SUM
2009
Springer
15 years 4 months ago
Modeling Unreliable Observations in Bayesian Networks by Credal Networks
Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...
Alessandro Antonucci, Alberto Piatti
GBRPR
2005
Springer
15 years 3 months ago
Approximating the Problem, not the Solution: An Alternative View of Point Set Matching
This work discusses the issue of approximation in point set matching problems. In general, one may have two classes of approximations when tackling a matching problem: a representa...
Tibério S. Caetano, Terry Caelli
95
Voted
RT
2005
Springer
15 years 3 months ago
Perceptually Based Tone Mapping of High Dynamic Range Image Streams
This paper presents a new perceptually based tone mapping operator that represents scene visibility under timevarying, high dynamic range conditions. The operator is based on a ne...
Piti Irawan, James A. Ferwerda, Stephen R. Marschn...