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AI
2002
Springer
15 years 7 months ago
Learning Bayesian networks from data: An information-theory based approach
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
ICISC
2009
146views Cryptology» more  ICISC 2009»
15 years 5 months ago
First CPIR Protocol with Data-Dependent Computation
We design a new (n, 1)-CPIR protocol BddCpir for -bit strings as a combination of a noncryptographic (BDD-based) data structure and a more basic cryptographic primitive (communicat...
Helger Lipmaa
ICC
2007
IEEE
145views Communications» more  ICC 2007»
16 years 1 months ago
Predicting User-Perceived Quality Ratings from Streaming Media Data
Abstract—Media stream quality is highly dependent on underlying network conditions, but identifying scalable, unambiguous metrics to discern the user-perceived quality of a media...
Amy Csizmar Dalal, David R. Musicant, Jamie F. Ols...
ECAI
2000
Springer
15 years 11 months ago
Data Set Editing by Ordered Projection
In this paper, an editing algorithm based on the projection of the examples in each dimension is presented. The algorithm, that we have called EOP (Editing by Ordered Projection) h...
Jesús S. Aguilar-Ruiz, José Crist&oa...
VLDB
2010
ACM
144views Database» more  VLDB 2010»
15 years 5 months ago
Methods for finding frequent items in data streams
The frequent items problem is to process a stream of items and find all items occurring more than a given fraction of the time. It is one of the most heavily studied problems in d...
Graham Cormode, Marios Hadjieleftheriou