51 search results - page 4 / 11 » SWITCH: A Novel Approach to Ensemble Learning for Heterogene... |
PAKDD
2004
ACM
14 years 1 months ago
2004
ACM
Supporting continuous mining queries on data streams requires algorithms that (i) are fast, (ii) make light demands on memory resources, and (iii) are easily to adapt to concept dr...
DAGM
2008
Springer
13 years 9 months ago
2008
Springer
In this paper a novel and generic approach for model-based data clustering in a boosting framework is presented. This method uses the forward stagewise additive modeling to learn t...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
JMLR
2010
13 years 2 months ago
2010
The paper analyzes peculiarities of preprocessing of learning data represented in object data bases constituted by multiple relational tables with ontology on top of it. Exactly s...
CASCON
2004
13 years 9 months ago
2004
Due in part to the large volume of data available today, but more importantly to privacy concerns, data are often distributed across institutional, geographical and organizational...