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95
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ICDM
2003
IEEE
158views Data Mining» more  ICDM 2003»
15 years 6 months ago
Combining Multiple Weak Clusterings
A data set can be clustered in many ways depending on the clustering algorithm employed, parameter settings used and other factors. Can multiple clusterings be combined so that th...
Alexander P. Topchy, Anil K. Jain, William F. Punc...
BMCBI
2010
115views more  BMCBI 2010»
15 years 26 days ago
Non-coding RNA detection methods combined to improve usability, reproducibility and precision
Background: Non-coding RNAs gain more attention as their diverse roles in many cellular processes are discovered. At the same time, the need for efficient computational prediction...
Peter Raasch, Ulf Schmitz, Nadja Patenge, Julio Ve...
89
Voted
DRR
2009
14 years 10 months ago
Combination of dynamic Bayesian network classifiers for the recognition of degraded characters
We investigate in this paper the combination of DBN (Dynamic Bayesian Network) classifiers, either independent or coupled, for the recognition of degraded characters. The independ...
Laurence Likforman-Sulem, Marc Sigelle
106
Voted
EWCBR
2006
Springer
15 years 4 months ago
Combining Multiple Similarity Metrics Using a Multicriteria Approach
The design of a CBR system involves the use of similarity metrics. For many applications, various functions can be adopted to compare case features and to aggregate them into a glo...
Luc Lamontagne, Irène Abi-Zeid
112
Voted
ACL
2007
15 years 2 months ago
Improved Word-Level System Combination for Machine Translation
Recently, confusion network decoding has been applied in machine translation system combination. Due to errors in the hypothesis alignment, decoding may result in ungrammatical co...
Antti-Veikko I. Rosti, Spyridon Matsoukas, Richard...