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» On Generalization by Neural Networks
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134
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STOC
2004
ACM
150views Algorithms» more  STOC 2004»
16 years 4 months ago
Typical properties of winners and losers in discrete optimization
We present a probabilistic analysis for a large class of combinatorial optimization problems containing, e.g., all binary optimization problems defined by linear constraints and a...
René Beier, Berthold Vöcking
208
Voted
SIGMOD
2009
ACM
125views Database» more  SIGMOD 2009»
16 years 4 months ago
Top-k queries on uncertain data: on score distribution and typical answers
Uncertain data arises in a number of domains, including data integration and sensor networks. Top-k queries that rank results according to some user-defined score are an important...
Tingjian Ge, Stanley B. Zdonik, Samuel Madden
SIGMOD
2009
ACM
139views Database» more  SIGMOD 2009»
16 years 4 months ago
Detecting and resolving unsound workflow views for correct provenance analysis
views abstract groups of tasks in a workflow into high level composite tasks, in order to reuse sub-workflows and facilitate provenance analysis. However, unless a view is careful...
Peng Sun, Ziyang Liu, Susan B. Davidson, Yi Chen
247
Voted
SIGMOD
2009
ACM
192views Database» more  SIGMOD 2009»
16 years 4 months ago
A gauss function based approach for unbalanced ontology matching
Ontology matching, aiming to obtain semantic correspondences between two ontologies, has played a key role in data exchange, data integration and metadata management. Among numero...
Qian Zhong, Hanyu Li, Juanzi Li, Guo Tong Xie, Jie...
219
Voted
SIGMOD
2009
ACM
180views Database» more  SIGMOD 2009»
16 years 4 months ago
Indexing correlated probabilistic databases
With large amounts of correlated probabilistic data being generated in a wide range of application domains including sensor networks, information extraction, event detection etc.,...
Bhargav Kanagal, Amol Deshpande
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