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» Input Modeling Using Quantile Statistical Methods
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94
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SODA
2001
ACM
110views Algorithms» more  SODA 2001»
15 years 1 months ago
Absolute convergence: true trees from short sequences
Fast-converging methods for reconstructing phylogenetic trees require that the sequences characterizing the taxa be of only polynomial length, a major asset in practice, since rea...
Tandy Warnow, Bernard M. E. Moret, Katherine St. J...
95
Voted
ISVC
2009
Springer
15 years 7 months ago
Scene Categorization by Introducing Contextual Information to the Visual Words
In this paper, we propose a novel scene categorization method based on contextual visual words. In this method, we extend the traditional ‘bags of visual words’ model by introd...
Jianzhao Qin, Nelson H. C. Yung
100
Voted
CLASSIFICATION
2006
108views more  CLASSIFICATION 2006»
15 years 18 days ago
The Practice of Cluster Analysis
Abstracts "Mixtures at the Interface" David Scott, Rice University Mixture modeling provides an effective framework for complex, high-dimensional data. The potential of m...
Jon R. Kettenring
PROMISE
2010
14 years 7 months ago
Case-based reasoning vs parametric models for software quality optimization
Background: There are many data mining methods but few comparisons between them. For example, there are at least two ways to build quality optimizers, programs that find project o...
Adam Brady, Tim Menzies
119
Voted
PKDD
2010
Springer
212views Data Mining» more  PKDD 2010»
14 years 11 months ago
Cross Validation Framework to Choose amongst Models and Datasets for Transfer Learning
Abstract. One solution to the lack of label problem is to exploit transfer learning, whereby one acquires knowledge from source-domains to improve the learning performance in the t...
ErHeng Zhong, Wei Fan, Qiang Yang, Olivier Versche...