244 search results - page 22 / 49 » Budgeted Nonparametric Learning from Data Streams |
119
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ACL
2012
13 years 2 months ago
2012
The named entity disambiguation task is to resolve the many-to-many correspondence between ambiguous names and the unique realworld entity. This task can be modeled as a classifi...
105
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KDD
2009
ACM
15 years 4 months ago
2009
ACM
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
100
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KDD
2010
ACM
15 years 3 months ago
2010
ACM
Mining cluster evolution from multiple correlated time-varying text corpora is important in exploratory text analytics. In this paper, we propose an approach called evolutionary h...
115
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ICDM
2010
IEEE
14 years 9 months ago
2010
IEEE
We present a mining system that can predict the future health status of the patient using the temporal trajectories of health status of a set of similar patients. The main noveltie...
103
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PKDD
2010
Springer
14 years 10 months ago
2010
Springer
Multi-task learning leverages shared information among data sets to improve the learning performance of individual tasks. The paper applies this framework for data where each task ...