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» Learning Compressible Models

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BIRTHDAY
2010
Springer

152views Applied Computing» more BIRTHDAY 2010»

Clustering the Normalized Compression Distance for Influenza Virus Data

15 years 1 months ago

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The present paper analyzes the usefulness of the normalized compression distance for the problem to cluster the hemagglutinin (HA) sequences of influenza virus data for the HA gene...

Kimihito Ito, Thomas Zeugmann, Yu Zhu

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AAAI
2004

157views Intelligent Agents» more AAAI 2004»

Distributed Representation of Syntactic Structure by Tensor Product Representation and Non-Linear Compression

14 years 11 months ago

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Representing lexicons and sentences with the subsymbolic approach (using techniques such as Self Organizing Map (SOM) or Artificial Neural Network (ANN)) is a relatively new but i...

Heidi H. T. Yeung, Peter W. M. Tsang

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SPIESR
1993

125views Database» more SPIESR 1993»

Self-Aligning and Compressed Autosophy Video Databases

14 years 11 months ago

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Autosophy, an emerging new science, explains "Self-assembling Structures", such crystals or living trees, in mathematical terms. This research provides a new mathematica...

Klaus Holtz

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ICML
2009
IEEE

151views Machine Learning» more ICML 2009»

Transfer learning for collaborative filtering via a rating-matrix generative model

15 years 10 months ago