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KDD
2010
ACM
235views Data Mining» more  KDD 2010»
15 years 10 months ago
Direct mining of discriminative patterns for classifying uncertain data
Classification is one of the most essential tasks in data mining. Unlike other methods, associative classification tries to find all the frequent patterns existing in the input...
Chuancong Gao, Jianyong Wang
COLT
1999
Springer
15 years 10 months ago
Uniform-Distribution Attribute Noise Learnability
We study the problem of PAC-learning Boolean functions with random attribute noise under the uniform distribution. We define a noisy distance measure for function classes and sho...
Nader H. Bshouty, Jeffrey C. Jackson, Christino Ta...
CRYPTO
2008
Springer
93views Cryptology» more  CRYPTO 2008»
15 years 8 months ago
Distributed Private Data Analysis: Simultaneously Solving How and What
We examine the combination of two directions in the field of privacy concerning computations over distributed private inputs
Amos Beimel, Kobbi Nissim, Eran Omri
170
Voted
LICS
2007
IEEE
16 years 24 days ago
Limits of Multi-Discounted Markov Decision Processes
Markov decision processes (MDPs) are controllable discrete event systems with stochastic transitions. The payoff received by the controller can be evaluated in different ways, dep...
Hugo Gimbert, Wieslaw Zielonka
DASFAA
2007
IEEE
208views Database» more  DASFAA 2007»
16 years 26 days ago
Probabilistic Nearest-Neighbor Query on Uncertain Objects
Nearest-neighbor queries are an important query type for commonly used feature databases. In many different application areas, e.g. sensor databases, location based services or fac...
Hans-Peter Kriegel, Peter Kunath, Matthias Renz