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ESANN
2008
13 years 11 months ago
K-nearest neighbours based on mutual information for incomplete data classification
Incomplete data is a common drawback that machine learning techniques need to deal with when solving real-life classification tasks. One of the most popular procedures for solving ...
Pedro J. García-Laencina, José-Luis ...
BILDMED
2009
152views Algorithms» more  BILDMED 2009»
13 years 7 months ago
Triple-Modality Normalized Mutual Information Based Medical Image Registration of Cardiac PET/CT and SPECT Images
Abstract. An extension of the normalized mutual information similarity measurement was proposed to register cardiac PET/CT and SPECT images representing coronary artery disease in ...
Laszlo Papp, Maaz Zuhayra, Reinhard Koch
ACL
2011
13 years 1 months ago
Enhancing Language Models in Statistical Machine Translation with Backward N-grams and Mutual Information Triggers
In this paper, with a belief that a language model that embraces a larger context provides better prediction ability, we present two extensions to standard n-gram language models ...
Deyi Xiong, Min Zhang, Haizhou Li
MICCAI
1999
Springer
14 years 2 months ago
Analysis of Functional MRI Data Using Mutual Information
Abstract. A new information-theoretic approach is presented for analyzing fMRI data to calculate the brain activation map. The method is based on a formulation of the mutualinforma...
Andy Tsai, John W. Fisher III, Cindy Wible, Willia...
BMCBI
2008
166views more  BMCBI 2008»
13 years 10 months ago
Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual informa
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
Weijun Luo, Kurt D. Hankenson, Peter J. Woolf