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KDD
2004
ACM
139views Data Mining» more  KDD 2004»
14 years 8 months ago
Learning a complex metabolomic dataset using random forests and support vector machines
Metabolomics is the omics science of biochemistry. The associated data include the quantitative measurements of all small molecule metabolites in a biological sample. These datase...
Young Truong, Xiaodong Lin, Chris Beecher
COR
2007
86views more  COR 2007»
13 years 7 months ago
Sourcing with random yields and stochastic demand: A newsvendor approach
We studied a supplier selection problem, where a buyer, while facing random demand, is to decide ordering quantities from a set of suppliers with different yields and prices.We pr...
Shitao Yang, Jian Yang, Layek Abdel-Malek
PDCAT
2007
Springer
14 years 1 months ago
High Throughput Multi-port MT19937 Uniform Random Number Generator
ct There have been many previous attempts to accelerate MT19937 using FPGAs but we believe that we can substantially improve the previous implementations to develop a higher throug...
Vinay Sriram, David Kearney
IPPS
1998
IEEE
13 years 12 months ago
Sharing Random Bits with No Process Coordination
We present a method by which any polynomial-time randomized distributed algorithm is transformed in such way that each participating process needs only polylog local random bits a...
Marius Zimand
PODC
1998
ACM
13 years 12 months ago
Amortizing Randomness in Private Multiparty Computations
We study the relationship between the number of rounds needed to repeatedly perform a private computation i.e., where there are many sets of inputs sequentially given to the play...
Eyal Kushilevitz, Rafail Ostrovsky, Adi Rosé...