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» Statistical Models of Conditioning
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130
Voted
STOC
2009
ACM
145views Algorithms» more  STOC 2009»
16 years 1 months ago
Non-malleable extractors and symmetric key cryptography from weak secrets
We study the question of basing symmetric key cryptography on weak secrets. In this setting, Alice and Bob share an n-bit secret W, which might not be uniformly random, but the ad...
Yevgeniy Dodis, Daniel Wichs
SPAA
2009
ACM
16 years 1 months ago
The weakest failure detector for wait-free dining under eventual weak exclusion
Dining philosophers is a classic scheduling problem for local mutual exclusion on arbitrary conflict graphs. We establish necessary conditions to solve wait-free dining under even...
Srikanth Sastry, Scott M. Pike, Jennifer L. Welch
KDD
2008
ACM
137views Data Mining» more  KDD 2008»
16 years 1 months ago
Learning classifiers from only positive and unlabeled data
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
Charles Elkan, Keith Noto
117
Voted
KDD
2008
ACM
150views Data Mining» more  KDD 2008»
16 years 1 months ago
Hypergraph spectral learning for multi-label classification
A hypergraph is a generalization of the traditional graph in which the edges are arbitrary non-empty subsets of the vertex set. It has been applied successfully to capture highord...
Liang Sun, Shuiwang Ji, Jieping Ye
KDD
2007
ACM
165views Data Mining» more  KDD 2007»
16 years 1 months ago
Finding low-entropy sets and trees from binary data
The discovery of subsets with special properties from binary data has been one of the key themes in pattern discovery. Pattern classes such as frequent itemsets stress the co-occu...
Eino Hinkkanen, Hannes Heikinheimo, Heikki Mannila...
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