1344 search results - page 173 / 269 » Learning Classifiers from Semantically Heterogeneous Data |
ICLP
2009
Springer
14 years 10 months ago
2009
Springer
PRISM is a probabilistic extension of Prolog. It is a high level language for probabilistic modeling capable of learning statistical parameters from observed data. After reviewing ...
ICPR
2008
IEEE
14 years 11 months ago
2008
IEEE
We describe an ensemble approach to learning1 salient regions from data partitioned according to the2 distributed processing requirements of large-scale sim-3 ulations. The volume...
DGO
2008
13 years 11 months ago
2008
We address the e-rulemaking problem of reducing the manual labor required to analyze public comment sets. In current and previous work, for example, text categorization techniques...
ADMA
2005
Springer
14 years 3 months ago
2005
Springer
Accurate probability-based ranking of instances is crucial in many real-world data mining applications. KNN (k-nearest neighbor) [1] has been intensively studied as an effective c...
ICDE
2008
IEEE
14 years 11 months ago
2008
IEEE
Abstract-- Many applications are driven by evolving data -patterns in web traffic, program execution traces, network event logs, etc., are often non-stationary. Building prediction...