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» Classification of musical genre: a machine learning approach
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ESANN
2006
15 years 1 months ago
Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
Long Han, Mark J. Embrechts, Boleslaw K. Szymanski...
DAGM
2010
Springer
15 years 23 days ago
Gaussian Mixture Modeling with Gaussian Process Latent Variable Models
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...
Hannes Nickisch, Carl Edward Rasmussen
104
Voted
IJFCS
2006
130views more  IJFCS 2006»
14 years 11 months ago
Mealy multiset automata
We introduce the networks of Mealy multiset automata, and study their computational power. The networks of Mealy multiset automata are computationally complete. 1 Learning from Mo...
Gabriel Ciobanu, Viorel Mihai Gontineac
116
Voted
BMCBI
2011
14 years 3 months ago
BICEPP: an example-based statistical text mining method for predicting the binary characteristics of drugs
Background: The identification of drug characteristics is a clinically important task, but it requires much expert knowledge and consumes substantial resources. We have developed ...
Frank P. Y. Lin, Stephen Anthony, Thomas M. Polase...
ICIP
2003
IEEE
16 years 1 months ago
Evaluation strategies for automatic linguistic indexing of pictures
With the rapid technological advances in machine learning and data mining, it is now possible to train computers with hundreds of semantic concepts for the purpose of annotating i...
James Ze Wang, Jia Li, Sui Ching Lin