244 search results - page 27 / 49 » Budgeted Nonparametric Learning from Data Streams |
PKDD
2009
Springer
15 years 6 months ago
2009
Springer
Existing feature extraction methods explore either global statistical or local geometric information underlying the data. In this paper, we propose a general framework to learn fea...
VLDB
2007
ACM
15 years 5 months ago
2007
ACM
Real-world datasets exhibit a complex dependency structure among the data attributes. Learning this structure is a key task in automatic statistics configuration for query optimi...
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DATAMINE
2006
14 years 11 months ago
2006
Efficiently detecting outliers or anomalies is an important problem in many areas of science, medicine and information technology. Applications range from data cleaning to clinica...
AAAI
2008
15 years 2 months ago
2008
Multilingual parallel text corpora provide a powerful means for propagating linguistic knowledge across languages. We present a model which jointly learns linguistic structure for...
ICML
2008
IEEE
16 years 16 days ago
2008
IEEE
The hierarchical Dirichlet process hidden Markov model (HDP-HMM) is a flexible, nonparametric model which allows state spaces of unknown size to be learned from data. We demonstra...