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» An algorithmic approach to knowledge evolution
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PAKDD
2005
ACM
112views Data Mining» more  PAKDD 2005»
16 years 1 days ago
Approximated Clustering of Distributed High-Dimensional Data
In many modern application ranges high-dimensional feature vectors are used to model complex real-world objects. Often these objects reside on different local sites. In this paper,...
Hans-Peter Kriegel, Peter Kunath, Martin Pfeifle, ...
KCAP
2003
ACM
15 years 11 months ago
A generic library of problem solving methods for scheduling applications
In this paper we describe a generic library of problemsolving methods (PSMs) for scheduling applications. Although, some attempts have been made in the past at developing librarie...
Dnyanesh G. Rajpathak, Enrico Motta, Zdenek Zdr&aa...
ICCS
1993
Springer
15 years 10 months ago
Towards Domain-Independent Machine Intelligence
Adaptive predictive search (APS), is a learning system framework, which given little initial domain knowledge, increases its decision-making abilities in complex problems domains....
Robert Levinson
LREC
2008
159views Education» more  LREC 2008»
15 years 8 months ago
Corpus Exploitation from Wikipedia for Ontology Construction
Ontology construction usually requires a domain-specific corpus for building corresponding concept hierarchy. The domain corpus must have a good coverage of domain knowledge. Wiki...
Gaoying Cui, Qin Lu, Wenjie Li, Yi-Rong Chen
ICML
2010
IEEE
15 years 7 months ago
Unsupervised Risk Stratification in Clinical Datasets: Identifying Patients at Risk of Rare Outcomes
Most existing algorithms for clinical risk stratification rely on labeled training data. Collecting this data is challenging for clinical conditions where only a small percentage ...
Zeeshan Syed, Ilan Rubinfeld