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ECML
1993
Springer
14 years 28 days ago
Complexity Dimensions and Learnability
In machine learning theory, problem classes are distinguished because of di erences in complexity. In 6 , a stochastic model of learning from examples was introduced. This PAClear...
Shan-Hwei Nienhuys-Cheng, Mark Polman
ICDT
2009
ACM
147views Database» more  ICDT 2009»
14 years 9 months ago
The average-case complexity of counting distinct elements
We continue the study of approximating the number of distinct elements in a data stream of length n to within a (1? ) factor. It is known that if the stream may consist of arbitra...
David P. Woodruff
SIAMCOMP
2002
152views more  SIAMCOMP 2002»
13 years 8 months ago
Maintaining Stream Statistics over Sliding Windows
We consider the problem of maintaining aggregates and statistics over data streams, with respect to the last N data elements seen so far. We refer to this model as the sliding wind...
Mayur Datar, Aristides Gionis, Piotr Indyk, Rajeev...
STOC
2009
ACM
160views Algorithms» more  STOC 2009»
14 years 9 months ago
CSP gaps and reductions in the lasserre hierarchy
We study integrality gaps for SDP relaxations of constraint satisfaction problems, in the hierarchy of SDPs defined by Lasserre. Schoenebeck [25] recently showed the first integra...
Madhur Tulsiani
COMPUTER
1999
69views more  COMPUTER 1999»
13 years 8 months ago
Scientific Components Are Coming
abstract mathematical or physical statement, not something specific. The way scientific programmers most frequently verify that their programs are correct is to examine their resul...
Paul F. Dubois