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FOCS
1990
IEEE
15 years 10 months ago
Separating Distribution-Free and Mistake-Bound Learning Models over the Boolean Domain
Two of the most commonly used models in computational learning theory are the distribution-free model in which examples are chosen from a fixed but arbitrary distribution, and the ...
Avrim Blum
IACR
2011
124views more  IACR 2011»
14 years 6 months ago
Efficient Multicast Key Distribution Using HOWF-based Access Control Structures
— Both broadcast encryption (BE) protocols and multicast key distribution (MKD) protocols try to solve the same problem of private group communication. For the first time, we dis...
Jing Liu, Qiong Huang, Bo Yang
SODA
2008
ACM
104views Algorithms» more  SODA 2008»
15 years 8 months ago
Ranged hash functions and the price of churn
Ranged hash functions generalize hash tables to the setting where hash buckets may come and go over time, a typical case in distributed settings where hash buckets may correspond ...
James Aspnes, Muli Safra, Yitong Yin
KDD
2004
ACM
135views Data Mining» more  KDD 2004»
16 years 7 months ago
Discovering additive structure in black box functions
Many automated learning procedures lack interpretability, operating effectively as a black box: providing a prediction tool but no explanation of the underlying dynamics that driv...
Giles Hooker
BMCBI
2007
144views more  BMCBI 2007»
15 years 6 months ago
Gene analogue finder: a GRID solution for finding functionally analogous gene products
Background: To date more than 2,1 million gene products from more than 100000 different species have been described specifying their function, the processes they are involved in a...
Angelica Tulipano, Giacinto Donvito, Flavio Licciu...