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» Induction in Noisy Domains
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89
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ICASSP
2009
IEEE
15 years 3 months ago
Multi-microphone maximum a posteriori fundamental frequency estimation in the cepstral domain
In this work we derive a new cepstrum based maximum likelihood fundamental frequency estimator that exploits the information of multiple microphones. The new approach results in a...
Timo Gerkmann, Rainer Martin, Derya Dalga
ICDM
2003
IEEE
102views Data Mining» more  ICDM 2003»
15 years 5 months ago
Bootstrapping Rule Induction
Most rule learning systems posit hard decision boundaries for continuous attributes and point estimates of rule accuracy, with no measures of variance, which may seem arbitrary to ...
Lemuel R. Waitman, Douglas H. Fisher, Paul H. King
97
Voted
KDD
1995
ACM
167views Data Mining» more  KDD 1995»
15 years 3 months ago
Efficient Algorithms for Attribute-Oriented Induction
Data mining or knowledge discovery in databasesis the search for relationships and global patterns that exist but are hidden in large databases.Many different methodshave been pro...
Hoi-Yee Hwang, Ada Wai-Chee Fu
CSL
2006
Springer
14 years 11 months ago
Unsupervised grammar induction using history based approach
Grammar induction, also known as grammar inference, is one of the most important research areas in the domain of natural language processing. Availability of large corpora has enc...
Heshaam Feili, Gholamreza Ghassem-Sani
COGSR
2011
105views more  COGSR 2011»
14 years 6 months ago
Inductive rule learning on the knowledge level
We present an application of the analytical inductive programming system Igor to learning sets of recursive rules from positive experience. We propose that this approach can be us...
Ute Schmid, Emanuel Kitzelmann