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» ETL Workflows: From Formal Specification to Optimization
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ICML
2006
IEEE
14 years 8 months ago
Nightmare at test time: robust learning by feature deletion
When constructing a classifier from labeled data, it is important not to assign too much weight to any single input feature, in order to increase the robustness of the classifier....
Amir Globerson, Sam T. Roweis
DLOG
2006
13 years 8 months ago
Data Complexity of Answering Unions of Conjunctive Queries in SHIQ
The novel context of accessing and querying large data repositories through ontologies that are formalized in terms of expressive DLs requires on the one hand to consider query an...
Magdalena Ortiz, Diego Calvanese, Thomas Eiter
JSC
2006
71views more  JSC 2006»
13 years 7 months ago
Towards a clausal analysis of cut-elimination
In this paper we show that a large class of cut-elimination methods can be analyzed by clause terms representing sets of characteristic clauses extractable from the original proof...
Matthias Baaz, Alexander Leitsch
CMOT
1998
92views more  CMOT 1998»
13 years 7 months ago
SDML: A Multi-Agent Language for Organizational Modelling
A programming language which is optimized for modelling multi-agent interaction within articulated social structures such as organizations is described with several examples of it...
Scott Moss, Helen Gaylard, Steve Wallis, Bruce Edm...
JMLR
2006
169views more  JMLR 2006»
13 years 7 months ago
Bayesian Network Learning with Parameter Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...