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» Using Anonymized Data for Classification
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147
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PAMI
2008
162views more  PAMI 2008»
15 years 3 months ago
Dimensionality Reduction of Clustered Data Sets
We present a novel probabilistic latent variable model to perform linear dimensionality reduction on data sets which contain clusters. We prove that the maximum likelihood solution...
Guido Sanguinetti
160
Voted
BMCBI
2010
156views more  BMCBI 2010»
15 years 3 months ago
Comparative classification of species and the study of pathway evolution based on the alignment of metabolic pathways
Background: Pathways provide topical descriptions of cellular circuitry. Comparing analogous pathways reveals intricate insights into individual functional differences among speci...
Adi Mano, Tamir Tuller, Oded Béjà, R...
151
Voted
SIGKDD
2008
159views more  SIGKDD 2008»
15 years 3 months ago
Data mining with cellular automata
A cellular automaton is a discrete, dynamical system composed of very simple, uniformly interconnected cells. Cellular automata may be seen as an extreme form of simple, localized...
Tom Fawcett
165
Voted
NIPS
1992
15 years 4 months ago
A Note on Learning Vector Quantization
Vector Quantization is useful for data compression. Competitive Learning which minimizes reconstruction error is an appropriate algorithm for vector quantization of unlabelled dat...
Virginia R. de Sa, Dana H. Ballard
119
Voted
ICPR
2004
IEEE
16 years 4 months ago
Data Dependent Classifier Fusion for Construction of Stable Effective Algorithms
A measure of stability for a wide class of pattern recognition algorithms is introduced to cope with overfitting in classification problems. Based on this concept, constructive me...
Dmitry Kropotov, Dmitry Vetrov