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» Neural Network Classification and Prior Class Probabilities
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FSKD
2007
Springer
161views Fuzzy Logic» more  FSKD 2007»
15 years 3 months ago
A KFCM-Based Fuzzy Classifier
A proposed KFCM-based fuzzy classifier was introduced. As for the process of constructing such classifier, firstly, the original sample space is mapped into a high dimensional fea...
Aimin Yang, Lingmin Jiang, Yongmei Zhou
67
Voted
ICANN
2009
Springer
15 years 2 months ago
Learning SVMs from Sloppily Labeled Data
This paper proposes a modelling of Support Vector Machine (SVM) learning to address the problem of learning with sloppy labels. In binary classification, learning with sloppy labe...
Guillaume Stempfel, Liva Ralaivola
PAMI
2006
147views more  PAMI 2006»
14 years 9 months ago
Bayesian Gaussian Process Classification with the EM-EP Algorithm
Gaussian process classifiers (GPCs) are Bayesian probabilistic kernel classifiers. In GPCs, the probability of belonging to a certain class at an input location is monotonically re...
Hyun-Chul Kim, Zoubin Ghahramani
ECSQARU
2009
Springer
14 years 7 months ago
When in Doubt ... Be Indecisive
For a presented case, a Bayesian network classifier in essence computes a posterior probability distribution over its class variable. Based upon this distribution, the classifier&#...
Linda C. van der Gaag, Silja Renooij, Wilma Steene...
116
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BMCBI
2008
220views more  BMCBI 2008»
14 years 9 months ago
Gene prediction in metagenomic fragments: A large scale machine learning approach
Background: Metagenomics is an approach to the characterization of microbial genomes via the direct isolation of genomic sequences from the environment without prior cultivation. ...
Katharina J. Hoff, Maike Tech, Thomas Lingner, Rol...