244 search results - page 16 / 49 » Budgeted Nonparametric Learning from Data Streams |
135
Voted
INFORMATICALT
2008
15 years 1 months ago
2008
Abstract. Data stream mining has become a novel research topic of growing interest in knowledge discovery. Most proposed algorithms for data stream mining assume that each data blo...
125
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NIPS
2004
15 years 3 months ago
2004
We present a novel method for learning with Gaussian process regression in a hierarchical Bayesian framework. In a first step, kernel matrices on a fixed set of input points are l...
115
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ICML
2007
IEEE
16 years 2 months ago
2007
IEEE
A new hierarchical nonparametric Bayesian model is proposed for the problem of multitask learning (MTL) with sequential data. Sequential data are typically modeled with a hidden M...
108
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CITA
2005
IEEE
15 years 7 months ago
2005
IEEE
- We present an architecture for data streams based on structures typically found in web cache hierarchies. The main idea is to build a meta level analyser from a number of levels ...
281
Voted
ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
The hierarchical Dirichlet process (HDP) is a Bayesian nonparametric mixed membership model--each data point is modeled with a collection of components of different proportions. T...