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» Learning with the Set Covering Machine
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107
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ICASSP
2011
IEEE
14 years 4 months ago
Outlier-aware robust clustering
Clustering is a basic task in a variety of machine learning applications. Partitioning a set of input vectors into compact, wellseparated subsets can be severely affected by the p...
Pedro A. Forero, Vassilis Kekatos, Georgios B. Gia...
121
Voted
ACL
2010
14 years 10 months ago
Tools for Multilingual Grammar-Based Translation on the Web
This is a system demo for a set of tools for translating texts between multiple languages in real time with high quality. The translation works on restricted languages, and is bas...
Aarne Ranta, Krasimir Angelov, Thomas Hallgren
COLT
1995
Springer
15 years 4 months ago
Regression NSS: An Alternative to Cross Validation
The Noise Sensitivity Signature (NSS), originally introduced by Grossman and Lapedes (1993), was proposed as an alternative to cross validation for selecting network complexity. I...
Michael P. Perrone, Brian S. Blais
147
Voted
ESANN
2006
15 years 2 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...
144
Voted
BMCBI
2007
207views more  BMCBI 2007»
15 years 24 days ago
Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clus
Background: The four heterogeneous childhood cancers, neuroblastoma, non-Hodgkin lymphoma, rhabdomyosarcoma, and Ewing sarcoma present a similar histology of small round blue cell...
Nikhil R. Pal, Kripamoy Aguan, Animesh Sharma, Shu...