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» Learning Determinantal Point Processes
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WWW
2007
ACM
14 years 9 months ago
Combining classifiers to identify online databases
We address the problem of identifying the domain of online databases. More precisely, given a set F of Web forms automatically gathered by a focused crawler and an online database...
Luciano Barbosa, Juliana Freire
DAGSTUHL
2001
13 years 10 months ago
Visualization for the Mind's Eye
Software visualization has been almost exclusively tackled from the visual point of view; this means visualization occurs exclusively through the visual channel. This approach has ...
Nelson A. Baloian, Wolfram Luther
MM
2004
ACM
152views Multimedia» more  MM 2004»
14 years 2 months ago
Manifold-ranking based image retrieval
In this paper, we propose a novel transductive learning framework named manifold-ranking based image retrieval (MRBIR). Given a query image, MRBIR first makes use of a manifold ra...
Jingrui He, Mingjing Li, HongJiang Zhang, Hanghang...
GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
13 years 10 months ago
Informative sampling for large unbalanced data sets
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
Zhenyu Lu, Anand I. Rughani, Bruce I. Tranmer, Jos...
CORR
2011
Springer
192views Education» more  CORR 2011»
13 years 3 months ago
Distribution-Independent Evolvability of Linear Threshold Functions
Valiant’s (2007) model of evolvability models the evolutionary process of acquiring useful functionality as a restricted form of learning from random examples. Linear threshold ...
Vitaly Feldman