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HAIS
2009
Springer
14 years 17 days ago
Unsupervised Feature Selection in High Dimensional Spaces and Uncertainty
Developing models and methods to manage data vagueness is a current effervescent research field. Some work has been done with supervised problems but unsupervised problems and unce...
José Ramón Villar, María del ...
ICML
2000
IEEE
14 years 8 months ago
A Dynamic Adaptation of AD-trees for Efficient Machine Learning on Large Data Sets
This paper has no novel learning or statistics: it is concerned with making a wide class of preexisting statistics and learning algorithms computationally tractable when faced wit...
Paul Komarek, Andrew W. Moore
DATE
2006
IEEE
85views Hardware» more  DATE 2006»
14 years 2 months ago
Test set enrichment using a probabilistic fault model and the theory of output deviations
— We present a probabilistic fault model that allows any number of gates in an integrated circuit to fail probabilistically. Tests for this fault model, determined using the theo...
Zhanglei Wang, Krishnendu Chakrabarty, Michael G&o...
DEXAW
2005
IEEE
96views Database» more  DEXAW 2005»
14 years 1 months ago
Mining Complex Patterns from Protein Surfaces
In the domain of bioinformatics, the role played in the biological process by proteins, that act as transmitters and receivers of information thus ruling the mechanisms that deter...
Lorenzo Baldacci, Matteo Golfarelli
MDAI
2010
Springer
13 years 6 months ago
Pattern Mining on Stars with FP-Growth
Abstract. Most existing data mining (DM) approaches look for patterns in a single table. Multi-relational DM approaches, on the other hand, look for patterns that involve multiple ...
Andreia Silva, Cláudia Antunes