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VLDB
2001
ACM
190views Database» more  VLDB 2001»
14 years 3 days ago
LEO - DB2's LEarning Optimizer
Most modern DBMS optimizers rely upon a cost model to choose the best query execution plan (QEP) for any given query. Cost estimates are heavily dependent upon the optimizer’s e...
Michael Stillger, Guy M. Lohman, Volker Markl, Mok...
ASYNC
2000
IEEE
122views Hardware» more  ASYNC 2000»
14 years 3 days ago
DUDES: A Fault Abstraction and Collapsing Framework for Asynchronous Circuits
Fault Abstraction and Collapsing Framework for Asynchronous Circuits Philip P. Shirvani, Subhasish Mitra Center for Reliable Computing Stanford University Stanford, CA Jo C. Eberge...
Philip P. Shirvani, Subhasish Mitra, Jo C. Ebergen...
FOCS
2000
IEEE
14 years 3 days ago
Stable Distributions, Pseudorandom Generators, Embeddings and Data Stream Computation
In this article, we show several results obtained by combining the use of stable distributions with pseudorandom generators for bounded space. In particular: —We show that, for a...
Piotr Indyk
SIGGRAPH
2000
ACM
14 years 1 days ago
Plenoptic sampling
This paper studies the problem of plenoptic sampling in imagebased rendering (IBR). From a spectral analysis of light field signals and using the sampling theorem, we mathematica...
Jinxiang Chai, Shing-Chow Chan, Heung-Yeung Shum, ...
STOC
2000
ACM
174views Algorithms» more  STOC 2000»
14 years 1 days ago
Noise-tolerant learning, the parity problem, and the statistical query model
We describe a slightly subexponential time algorithm for learning parity functions in the presence of random classification noise, a problem closely related to several cryptograph...
Avrim Blum, Adam Kalai, Hal Wasserman
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