244 search results - page 2 / 49 » Budgeted Nonparametric Learning from Data Streams |
ISIPTA
2005
IEEE
13 years 10 months ago
2005
IEEE
A new model for learning from multinomial data has recently been developed, giving predictive inferences in the form of lower and upper probabilities for a future observation. Apa...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
Many kernel learning methods have to assume parametric forms for the target kernel functions, which significantly limits the capability of kernels in fitting diverse patterns. Som...
APIN
2002
13 years 4 months ago
2002
Abstract: Locally weighted learning (LWL) is a class of techniques from nonparametric statistics that provides useful representations and training algorithms for learning about com...
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
Learning from streams of evolving and unbounded data is an important problem, for example in visual surveillance or internet scale data. For such large and evolving real-world data...
BMCBI
2010
12 years 12 months ago
2010
Background: The correlation between the expression levels of transcription factors and their target genes can be used to infer interactions within animal regulatory networks, but ...