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» Extracting Approximate Patterns
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FOCS
1999
IEEE
15 years 9 months ago
Approximate Nearest Neighbor Algorithms for Hausdorff Metrics via Embeddings
Hausdorff metrics are used in geometric settings for measuring the distance between sets of points. They have been used extensively in areas such as computer vision, pattern recog...
Martin Farach-Colton, Piotr Indyk
CEC
2007
IEEE
15 years 6 months ago
Multi-population approach to approximate the development of neocortical networks
— Cultured natural cortical neurons form functional networks through a complex set of developmental steps during the first weeks in vitro. The dynamic behavior of the network in...
Andreas Herzog, Karsten Kube, Bernd Michaelis, Ana...
EACL
2010
ACL Anthology
15 years 6 months ago
Generating Approximate Geographic Descriptions
Georeferenced data sets are often large and complex. Natural Language Generation (NLG) systems are beginning to emerge that generate texts from such data. One of the challenges th...
Ross Turner, Somayajulu Sripada, Ehud Reiter
JMLR
2010
125views more  JMLR 2010»
14 years 11 months ago
Maximum Likelihood in Cost-Sensitive Learning: Model Specification, Approximations, and Upper Bounds
The presence of asymmetry in the misclassification costs or class prevalences is a common occurrence in the pattern classification domain. While much interest has been devoted to ...
Jacek P. Dmochowski, Paul Sajda, Lucas C. Parra
PODS
2005
ACM
85views Database» more  PODS 2005»
16 years 4 months ago
Relative risk and odds ratio: a data mining perspective
We are often interested to test whether a given cause has a given effect. If we cannot specify the nature of the factors involved, such tests are called model-free studies. There ...
Haiquan Li, Jinyan Li, Limsoon Wong, Mengling Feng...