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» Feature Selection with Adjustable Criteria
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AIR
2005
102views more  AIR 2005»
13 years 7 months ago
A Case-Based Explanation System for Black-Box Systems
Most users of machine-learning products are reluctant to use the systems without any sense of the underlying logic that has led to the system's predictions. Unfortunately many...
Conor Nugent, Padraig Cunningham
ECCV
2004
Springer
14 years 9 months ago
Detecting Keypoints with Stable Position, Orientation, and Scale under Illumination Changes
Local feature approaches to vision geometry and object recognition are based on selecting and matching sparse sets of visually salient image points, known as `keypoints' or `p...
Bill Triggs
DAGSTUHL
1992
13 years 9 months ago
A Methodology for Evaluating Software Engineering Methods and Tools
DESMET was a DTI-backed project with the goal of developing and validating a methodology for evaluating software engineering methods and tools. The project identified nine methods...
Barbara Kitchenham
BMCBI
2006
198views more  BMCBI 2006»
13 years 7 months ago
Gene selection and classification of microarray data using random forest
Background: Selection of relevant genes for sample classification is a common task in most gene expression studies, where researchers try to identify the smallest possible set of ...
Ramón Díaz-Uriarte, Sara Alvarez de ...
ICPR
2006
IEEE
14 years 8 months ago
Learning Pairwise Similarity for Data Clustering
Each clustering algorithm induces a similarity between given data points, according to the underlying clustering criteria. Given the large number of available clustering technique...
Ana L. N. Fred, Anil K. Jain