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CSDA
2007
116views more  CSDA 2007»
15 years 3 months ago
Exploring the state sequence space for hidden Markov and semi-Markov chains
The knowledge of the state sequences that explain a given observed sequence for a known hidden Markovian model is the basis of various methods that may be divided into three categ...
Yann Guédon
149
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JASIS
2006
96views more  JASIS 2006»
15 years 3 months ago
Learning to classify documents according to genre
Genre or style analysis can be used to improve results achieved using standard IR techniques. A genre class is a group of documents that are written in a similar style. Genre clas...
Aidan Finn, Nicholas Kushmerick
CVIU
2007
128views more  CVIU 2007»
15 years 3 months ago
Iterative relative fuzzy connectedness for multiple objects with multiple seeds
In this paper we present a new theory and an algorithm for image segmentation based on a strength of connectedness between every pair of image elements. The object definition use...
Krzysztof Ciesielski, Jayaram K. Udupa, Punam K. S...
JCB
2006
185views more  JCB 2006»
15 years 3 months ago
A Probabilistic Methodology for Integrating Knowledge and Experiments on Biological Networks
Biological systems are traditionally studied by focusing on a specific subsystem, building an intuitive model for it, and refining the model using results from carefully designed ...
Irit Gat-Viks, Amos Tanay, Daniela Raijman, Ron Sh...
JMLR
2006
169views more  JMLR 2006»
15 years 3 months ago
Bayesian Network Learning with Parameter Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
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