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» On data mining, compression, and Kolmogorov complexity
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DCC
2006
IEEE
15 years 9 months ago
Compression and Machine Learning: A New Perspective on Feature Space Vectors
The use of compression algorithms in machine learning tasks such as clustering and classification has appeared in a variety of fields, sometimes with the promise of reducing probl...
D. Sculley, Carla E. Brodley
68
Voted
WEBI
2009
Springer
15 years 4 months ago
Specialized Review Selection for Feature Rating Estimation
—On participatory Websites, users provide opinions about products, with both overall ratings and textual reviews. In this paper, we propose an approach to accurately estimate fea...
Chong Long, Jie Zhang, Minlie Huang, Xiaoyan Zhu, ...
88
Voted
JCST
2010
147views more  JCST 2010»
14 years 8 months ago
A New Approach for Multi-Document Update Summarization
Fast changing knowledge on the Internet can be acquired more efficiently with the help of automatic document summarization and updating techniques. This paper describes a novel app...
Chong Long, Minlie Huang, Xiaoyan Zhu, Ming Li
CIKM
2008
Springer
14 years 11 months ago
Information shared by many objects
If Kolmogorov complexity [25] measures information in one object and Information Distance [4, 23, 24, 42] measures information shared by two objects, how do we measure information...
Chong Long, Xiaoyan Zhu, Ming Li, Bin Ma
70
Voted
LATA
2010
Springer
15 years 4 months ago
Choosing Word Occurrences for the Smallest Grammar Problem
The smallest grammar problem - namely, finding a smallest context-free grammar that generates exactly one sequence - is of practical and theoretical importance in fields such as ...
Rafael Carrascosa, François Coste, Matthias...