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» Measuring the Complexity of Classification Problems
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TSP
2010
13 years 2 months ago
A multi-resolution hidden Markov model using class-specific features
We address the problem in signal classification applications, such as automatic speech recognition (ASR) systems that employ the hidden Markov model (HMM), that it is necessary to...
Paul M. Baggenstoss
SDM
2012
SIAM
234views Data Mining» more  SDM 2012»
11 years 10 months ago
Monitoring and Mining Insect Sounds in Visual Space
Monitoring animals by the sounds they produce is an important and challenging task, whether the application is outdoors in a natural habitat, or in the controlled environment of a...
Yuan Hao, Bilson J. L. Campana, Eamonn J. Keogh
ESWA
2008
102views more  ESWA 2008»
13 years 8 months ago
Hierarchical classifier with overlapping class groups
In this paper a novel complex classifier architecture is proposed. The architecture has a hierarchical tree-like structure with simple artificial neural networks (ANNs) at each no...
Igor T. Podolak
CORR
2010
Springer
136views Education» more  CORR 2010»
13 years 5 months ago
Schaefer's theorem for graphs
Schaefer's theorem is a complexity classification result for so-called Boolean constraint satisfaction problems: it states that every Boolean constraint satisfaction problem ...
Manuel Bodirsky, Michael Pinsker
ICML
2003
IEEE
14 years 8 months ago
Learning with Positive and Unlabeled Examples Using Weighted Logistic Regression
The problem of learning with positive and unlabeled examples arises frequently in retrieval applications. We transform the problem into a problem of learning with noise by labelin...
Wee Sun Lee, Bing Liu