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» From Algorithmic to Subjective Randomness
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STOC
2005
ACM
112views Algorithms» more  STOC 2005»
16 years 7 months ago
Covert two-party computation
We introduce the novel concept of covert two-party computation. Whereas ordinary secure two-party computation only guarantees that no more knowledge is leaked about the inputs of t...
Luis von Ahn, Nicholas J. Hopper, John Langford
SIGMOD
2002
ACM
198views Database» more  SIGMOD 2002»
16 years 7 months ago
Processing complex aggregate queries over data streams
Recent years have witnessed an increasing interest in designing algorithms for querying and analyzing streaming data (i.e., data that is seen only once in a fixed order) with only...
Alin Dobra, Minos N. Garofalakis, Johannes Gehrke,...
EDBT
2006
ACM
190views Database» more  EDBT 2006»
16 years 7 months ago
Fast Approximate Wavelet Tracking on Streams
Recent years have seen growing interest in effective algorithms for summarizing and querying massive, high-speed data streams. Randomized sketch synopses provide accurate approxima...
Graham Cormode, Minos N. Garofalakis, Dimitris Sac...
SDM
2009
SIAM
175views Data Mining» more  SDM 2009»
16 years 4 months ago
Low-Entropy Set Selection.
Most pattern discovery algorithms easily generate very large numbers of patterns, making the results impossible to understand and hard to use. Recently, the problem of instead sel...
Hannes Heikinheimo, Jilles Vreeken, Arno Siebes, H...
SDM
2009
SIAM
119views Data Mining» more  SDM 2009»
16 years 4 months ago
Twin Vector Machines for Online Learning on a Budget.
This paper proposes Twin Vector Machine (TVM), a constant space and sublinear time Support Vector Machine (SVM) algorithm for online learning. TVM achieves its favorable scaling b...
Zhuang Wang, Slobodan Vucetic