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TSE
2002
96views more  TSE 2002»
14 years 10 months ago
Better Reliability Assessment and Prediction through Data Clustering
This paper presents a new approach to software reliability modeling by grouping data into clusters of homogeneous failure intensities. This series of data clusters associated with...
Jeff Tian
78
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ITA
2006
167views Communications» more  ITA 2006»
14 years 10 months ago
Characterization of lung tumor subtypes through gene expression cluster validity assessment
The problem of assessing the reliability of clusters patients identified by clustering algorithms is crucial to estimate the significance of subclasses of diseases detectable at b...
Giorgio Valentini, Francesca Ruffino
CIBB
2008
15 years 8 days ago
Unsupervised Stability-Based Ensembles to Discover Reliable Structures in Complex Bio-molecular Data
The assessment of the reliability of clusters discovered in bio-molecular data is a central issue in several bioinformatics problems. Several methods based on the concept of stabil...
Alberto Bertoni, Giorgio Valentini
91
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BMCBI
2008
103views more  BMCBI 2008»
14 years 10 months ago
Discovering multi-level structures in bio-molecular data through the Bernstein inequality
Background: The unsupervised discovery of structures (i.e. clusterings) underlying data is a central issue in several branches of bioinformatics. Methods based on the concept of s...
Alberto Bertoni, Giorgio Valentini
140
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Publication
412views
16 years 8 months ago
Analyzing Transit Service Reliability using Detailed Data From Automatic Vehicular Locator Systems
The widespread adoption of automated vehicle location systems (AVL) and automatic passenger counters (APC) in the transit industry has opened new venues in operations and system mo...
A. M. El-Geneidy, J. Horning, K. J. Krizek