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» Polynomial Interpretations and the Complexity of Algorithms
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RTCSA
2006
IEEE
15 years 8 months ago
Instruction Scheduling with Release Times and Deadlines on ILP Processors
ILP (Instruction Level Parallelism) processors are being increasingly used in embedded systems. In embedded systems, instructions may be subject to timing constraints. An optimisi...
Hui Wu, Joxan Jaffar, Jingling Xue
STOC
2000
ACM
174views Algorithms» more  STOC 2000»
15 years 6 months ago
Noise-tolerant learning, the parity problem, and the statistical query model
We describe a slightly subexponential time algorithm for learning parity functions in the presence of random classification noise, a problem closely related to several cryptograph...
Avrim Blum, Adam Kalai, Hal Wasserman
ALT
1999
Springer
15 years 6 months ago
PAC Learning with Nasty Noise
We introduce a new model for learning in the presence of noise, which we call the Nasty Noise model. This model generalizes previously considered models of learning with noise. Th...
Nader H. Bshouty, Nadav Eiron, Eyal Kushilevitz
JACM
2006
93views more  JACM 2006»
15 years 1 months ago
Combining expert advice in reactive environments
"Experts algorithms" constitute a methodology for choosing actions repeatedly, when the rewards depend both on the choice of action and on the unknown current state of t...
Daniela Pucci de Farias, Nimrod Megiddo
ICDE
2009
IEEE
135views Database» more  ICDE 2009»
16 years 3 months ago
Forward Decay: A Practical Time Decay Model for Streaming Systems
Temporal data analysis in data warehouses and data streaming systems often uses time decay to reduce the importance of older tuples, without eliminating their influence, on the res...
Graham Cormode, Vladislav Shkapenyuk, Divesh Sriva...