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» Generating Data Analysis Programs from Statistical Models
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ICTAI
2006
IEEE
14 years 1 months ago
Learning to Predict Salient Regions from Disjoint and Skewed Training Sets
We present an ensemble learning approach that achieves accurate predictions from arbitrarily partitioned data. The partitions come from the distributed processing requirements of ...
Larry Shoemaker, Robert E. Banfield, Lawrence O. H...
ICDE
2012
IEEE
205views Database» more  ICDE 2012»
11 years 10 months ago
Optimizing Statistical Information Extraction Programs over Evolving Text
—Statistical information extraction (IE) programs are increasingly used to build real-world IE systems such as Alibaba, CiteSeer, Kylin, and YAGO. Current statistical IE approach...
Fei Chen, Xixuan Feng, Christopher Re, Min Wang
PKDD
1999
Springer
272views Data Mining» more  PKDD 1999»
13 years 12 months ago
Handling Missing Data in Trees: Surrogate Splits or Statistical Imputation
Abstract. In many applications of data mining a - sometimes considerable - part of the data values is missing. This may occur because the data values were simply never entered into...
A. J. Feelders
ICICS
2009
Springer
14 years 2 months ago
Assessing Security Risk to a Network Using a Statistical Model of Attacker Community Competence
We propose a novel approach for statistical risk modeling of network attacks that lets an operator perform risk analysis using a data model and an impact model on top of an attack ...
Tomas Olsson
ITC
2000
IEEE
88views Hardware» more  ITC 2000»
14 years 1 days ago
Predicting device performance from pass/fail transient signal analysis data
Transient Signal Analysis (TSA) is a Go/No-Go device testing method that is based on the analysis of voltage transients at multiple test points. In this paper, a technique based o...
James F. Plusquellic, Amy Germida, Jonathan Hudson...