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DIALM
2007
ACM
144views Algorithms» more  DIALM 2007»
13 years 9 months ago
Reliable Local Broadcast in a Wireless Network Prone to Byzantine Failures
Reliable broadcast can be a very useful primitive for many distributed applications, especially in the context of sensoractuator networks. Recently, the issue of reliable broadcas...
Vartika Bhandari, Nitin H. Vaidya
KDD
2010
ACM
249views Data Mining» more  KDD 2010»
13 years 7 months ago
Semi-supervised sparse metric learning using alternating linearization optimization
In plenty of scenarios, data can be represented as vectors mathematically abstracted as points in a Euclidean space. Because a great number of machine learning and data mining app...
Wei Liu, Shiqian Ma, Dacheng Tao, Jianzhuang Liu, ...
GECCO
2008
Springer
196views Optimization» more  GECCO 2008»
13 years 6 months ago
ADANN: automatic design of artificial neural networks
In this work an improvement of an initial approach to design Artificial Neural Networks to forecast Time Series is tackled, and the automatic process to design Artificial Neural N...
Juan Peralta, Germán Gutiérrez, Arac...
SIGMOD
2010
ACM
232views Database» more  SIGMOD 2010»
13 years 6 months ago
Optimizing content freshness of relations extracted from the web using keyword search
An increasing number of applications operate on data obtained from the Web. These applications typically maintain local copies of the web data to avoid network latency in data acc...
Mohan Yang, Haixun Wang, Lipyeow Lim, Min Wang
ALGORITHMICA
2006
139views more  ALGORITHMICA 2006»
13 years 5 months ago
CONQUEST: A Coarse-Grained Algorithm for Constructing Summaries of Distributed Discrete Datasets
Abstract. In this paper we present a coarse-grained parallel algorithm, CONQUEST, for constructing boundederror summaries of high-dimensional binary attributed data in a distribute...
Jie Chi, Mehmet Koyutürk, Ananth Grama