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» On Multiple Linear Approximations
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SDM
2007
SIAM
131views Data Mining» more  SDM 2007»
14 years 11 months ago
Load Shedding in Classifying Multi-Source Streaming Data: A Bayes Risk Approach
In many applications, we monitor data obtained from multiple streaming sources for collective decision making. The task presents several challenges. First, data in sensor networks...
Yijian Bai, Haixun Wang, Carlo Zaniolo
SIGIR
2010
ACM
14 years 10 months ago
Optimal meta search results clustering
By analogy with merging documents rankings, the outputs from multiple search results clustering algorithms can be combined into a single output. In this paper we study the feasibi...
Claudio Carpineto, Giovanni Romano
CORR
2006
Springer
99views Education» more  CORR 2006»
14 years 10 months ago
Rational stochastic languages
In probabilistic grammatical inference, a usual goal is to infer a good approximation of an unknown distribution P called a stochastic language. The estimate of P stands in some cl...
François Denis, Yann Esposito
SIGMETRICS
2008
ACM
113views Hardware» more  SIGMETRICS 2008»
14 years 10 months ago
Layered interval codes for tcam-based classification
Ternary content-addressable memories (TCAMs) are increasingly used for high-speed packet classification. TCAMs compare packet headers against all rules in a classification database...
Anat Bremler-Barr, David Hay, Danny Hendler, Boris...
TISSEC
2008
235views more  TISSEC 2008»
14 years 10 months ago
SDAP: A Secure Hop-by-Hop Data Aggregation Protocol for Sensor Networks
Hop-by-hop data aggregation is a very important technique for reducing the communication overhead and energy expenditure of sensor nodes during the process of data collection in a...
Yi Yang, Xinran Wang, Sencun Zhu, Guohong Cao