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GECCO
2009
Springer
199views Optimization» more  GECCO 2009»
14 years 7 days ago
Using behavioral exploration objectives to solve deceptive problems in neuro-evolution
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
Jean-Baptiste Mouret, Stéphane Doncieux
FOCS
2000
IEEE
14 years 1 days ago
Extracting Randomness via Repeated Condensing
Extractors (defined by Nisan and Zuckerman) are procedures that use a small number of truly random bits (called the seed) to extract many (almost) truly random bits from arbitrar...
Omer Reingold, Ronen Shaltiel, Avi Wigderson
DIALM
2007
ACM
144views Algorithms» more  DIALM 2007»
13 years 11 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
SIGIR
2010
ACM
13 years 11 months ago
Effective music tagging through advanced statistical modeling
Music information retrieval (MIR) holds great promise as a technology for managing large music archives. One of the key components of MIR that has been actively researched into is...
Jialie Shen, Wang Meng, Shuichang Yan, HweeHwa Pan...
SIGIR
2010
ACM
13 years 11 months ago
Estimation of statistical translation models based on mutual information for ad hoc information retrieval
As a principled approach to capturing semantic relations of words in information retrieval, statistical translation models have been shown to outperform simple document language m...
Maryam Karimzadehgan, ChengXiang Zhai