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SIGMOD
1996
ACM
151views Database» more  SIGMOD 1996»
15 years 3 months ago
BIRCH: An Efficient Data Clustering Method for Very Large Databases
Finding useful patterns in large datasets has attracted considerable interest recently, and one of the most widely st,udied problems in this area is the identification of clusters...
Tian Zhang, Raghu Ramakrishnan, Miron Livny
TIP
2008
144views more  TIP 2008»
14 years 11 months ago
On Dictionary Adaptation for Recurrent Pattern Image Coding
In this paper, we exploit a recently introduced coding algorithm called multidimensional multiscale parser (MMP) as an alternative to the traditional transform quantization-based m...
Nuno M. M. Rodrigues, Eduardo A. B. da Silva, Muri...
GECCO
2007
Springer
194views Optimization» more  GECCO 2007»
15 years 5 months ago
Hybrid coevolutionary algorithms vs. SVM algorithms
As a learning method support vector machine is regarded as one of the best classifiers with a strong mathematical foundation. On the other hand, evolutionary computational techniq...
Rui Li, Bir Bhanu, Krzysztof Krawiec
BMCBI
2010
142views more  BMCBI 2010»
14 years 11 months ago
Classification of protein sequences by means of irredundant patterns
Background: The classification of protein sequences using string algorithms provides valuable insights for protein function prediction. Several methods, based on a variety of diff...
Matteo Comin, Davide Verzotto
ALT
2003
Springer
15 years 3 months ago
Can Learning in the Limit Be Done Efficiently?
Abstract. Inductive inference can be considered as one of the fundamental paradigms of algorithmic learning theory. We survey results recently obtained and show their impact to pot...
Thomas Zeugmann