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» The Generalized Quantum Database Search Algorithm
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UAI
1997
13 years 10 months ago
A Bayesian Approach to Learning Bayesian Networks with Local Structure
Recently several researchers have investigated techniques for using data to learn Bayesian networks containing compact representations for the conditional probability distribution...
David Maxwell Chickering, David Heckerman, Christo...
AIEDAM
1998
87views more  AIEDAM 1998»
13 years 8 months ago
Learning to set up numerical optimizations of engineering designs
Gradient-based numerical optimization of complex engineering designs offers the promise of rapidly producing better designs. However, such methods generally assume that the object...
Mark Schwabacher, Thomas Ellman, Haym Hirsh
KDD
2008
ACM
115views Data Mining» more  KDD 2008»
14 years 9 months ago
Topical query decomposition
We introduce the problem of query decomposition, where we are given a query and a document retrieval system, and we want to produce a small set of queries whose union of resulting...
Francesco Bonchi, Carlos Castillo, Debora Donato, ...
ACMSE
2010
ACM
13 years 6 months ago
Mining relaxed closed subspace clusters
This paper defines and discusses a new problem in the area of subspace clustering. It defines the problem of mining closed subspace clusters. This new concept allows for the culli...
Erich Allen Peterson, Peiyi Tang
STOC
2001
ACM
134views Algorithms» more  STOC 2001»
14 years 9 months ago
Data-streams and histograms
Histograms are typically used to approximate data distributions. Histograms and related synopsis structures have been successful in a wide variety of popular database applications...
Sudipto Guha, Nick Koudas, Kyuseok Shim