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ICML
2005
IEEE
16 years 1 months ago
A model for handling approximate, noisy or incomplete labeling in text classification
We introduce a Bayesian model, BayesANIL, that is capable of estimating uncertainties associated with the labeling process. Given a labeled or partially labeled training corpus of...
Ganesh Ramakrishnan, Krishna Prasad Chitrapura, Ra...
88
Voted
ICDE
2010
IEEE
198views Database» more  ICDE 2010»
16 years 18 days ago
Q-Cop: Avoiding Bad Query Mixes to Minimize Client Timeouts Under Heavy Loads
In three-tiered web applications, some form of admission control is required to ensure that throughput and response times are not significantly harmed during periods of heavy load....
Sean Tozer, Tim Brecht, Ashraf Aboulnaga
89
Voted
DCC
2006
IEEE
16 years 13 days ago
Optimal Index Assignment for Multiple Description Lattice Vector Quantization
Optimal index assignment of multiple description lattice vector quantizer (MDLVQ) can be posed as a large-scale linear assignment problem. But is this expensive algorithmic approa...
Xiang Huang, Xiaolin Wu
SODA
2010
ACM
208views Algorithms» more  SODA 2010»
15 years 10 months ago
Correlation Robust Stochastic Optimization
We consider a robust model proposed by Scarf, 1958, for stochastic optimization when only the marginal probabilities of (binary) random variables are given, and the correlation be...
Shipra Agrawal, Yichuan Ding, Amin Saberi, Yinyu Y...
93
Voted
ICCAD
2008
IEEE
125views Hardware» more  ICCAD 2008»
15 years 9 months ago
A succinct memory model for automated design debugging
— In today’s complex SoC designs, verification and debugging are becoming ever more crucial and increasingly timeconsuming tasks. The prevalence of embedded memories adds to t...
Brian Keng, Hratch Mangassarian, Andreas G. Veneri...