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DCC
2006
IEEE
14 years 8 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
ICDM
2009
IEEE
105views Data Mining» more  ICDM 2009»
14 years 3 months ago
Multi-document Summarization by Information Distance
—We are now living in a world where information is growing and updating quickly. Knowledge can be acquired more efficiently with the help of automatic document summarization and...
Chong Long, Minlie Huang, Xiaoyan Zhu, Ming Li
IWIA
2006
IEEE
14 years 2 months ago
An Application of Information Theory to Intrusion Detection
Zero-day attacks, new (anomalous) attacks exploiting previously unknown system vulnerabilities, are a serious threat. Defending against them is no easy task, however. Having ident...
E. Earl Eiland, Lorie M. Liebrock
COCOON
1999
Springer
14 years 28 days ago
Distributionally-Hard Languages
Cai and Selman [CS99] defined a modification of Levin’s notion of average polynomial time and proved, for every P-bi-immune language L and every polynomial-time computable dis...
Lance Fortnow, Aduri Pavan, Alan L. Selman
ALT
1997
Springer
14 years 24 days ago
Learning DFA from Simple Examples
Efficient learning of DFA is a challenging research problem in grammatical inference. It is known that both exact and approximate (in the PAC sense) identifiability of DFA is har...
Rajesh Parekh, Vasant Honavar