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ESANN
2004
14 years 11 months ago
Neural networks for data mining: constrains and open problems
When we talk about using neural networks for data mining we have in mind the original data mining scope and challenge. How did neural networks meet this challenge? Can we run neura...
Razvan Andonie, Boris Kovalerchuk
APIN
2004
116views more  APIN 2004»
14 years 9 months ago
Neural Learning from Unbalanced Data
This paper describes the result of our study on neural learning to solve the classification problems in which data is unbalanced and noisy. We conducted the study on three differen...
Yi Lu Murphey, Hong Guo, Lee A. Feldkamp
67
Voted
ASIACRYPT
2003
Springer
15 years 2 months ago
Incremental Multiset Hash Functions and Their Application to Memory Integrity Checking
We introduce a new cryptographic tool: multiset hash functions. Unlike standard hash functions which take strings as input, multiset hash functions operate on multisets (or sets). ...
Dwaine E. Clarke, Srinivas Devadas, Marten van Dij...
STOC
2009
ACM
145views Algorithms» more  STOC 2009»
15 years 10 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
SIGMOD
2002
ACM
112views Database» more  SIGMOD 2002»
15 years 9 months ago
Minimal probing: supporting expensive predicates for top-k queries
This paper addresses the problem of evaluating ranked top-? queries with expensive predicates. As major DBMSs now all support expensive user-defined predicates for Boolean queries...
Kevin Chen-Chuan Chang, Seung-won Hwang