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» Approximation of Information Granule Sets
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ICML
2009
IEEE
15 years 6 months ago
Learning linear dynamical systems without sequence information
Virtually all methods of learning dynamic systems from data start from the same basic assumption: that the learning algorithm will be provided with a sequence, or trajectory, of d...
Tzu-Kuo Huang, Jeff Schneider
KDD
2000
ACM
149views Data Mining» more  KDD 2000»
15 years 3 months ago
Efficient clustering of high-dimensional data sets with application to reference matching
Many important problems involve clustering large datasets. Although naive implementations of clustering are computationally expensive, there are established efficient techniques f...
Andrew McCallum, Kamal Nigam, Lyle H. Ungar
SODA
2010
ACM
174views Algorithms» more  SODA 2010»
14 years 9 months ago
Differentially Private Combinatorial Optimization
Consider the following problem: given a metric space, some of whose points are "clients," select a set of at most k facility locations to minimize the average distance f...
Anupam Gupta, Katrina Ligett, Frank McSherry, Aaro...
SIGMOD
2008
ACM
90views Database» more  SIGMOD 2008»
15 years 12 months ago
Toward best-effort information extraction
Current approaches to develop information extraction (IE) programs have largely focused on producing precise IE results. As such, they suffer from three major limitations. First, ...
Warren Shen, Pedro DeRose, Robert McCann, AnHai Do...
ICDE
2001
IEEE
201views Database» more  ICDE 2001»
16 years 1 months ago
Approximate Nearest Neighbor Searching in Multimedia Databases
In this paper, we develop a general framework for approximate nearest neighbor queries. We categorize the current approaches for nearest neighbor query processing based on either ...
Hakan Ferhatosmanoglu, Ertem Tuncel, Divyakant Agr...