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WSC
2000
15 years 7 months ago
Model abstraction for discrete event systems using neural networks and sensitivity information
STRACTION FOR DISCRETE EVENT SYSTEMS USING NEURAL NETWORKS AND SENSITIVITY INFORMATION Christos G. Panayiotou Christos G. Cassandras Department of Manufacturing Engineering Boston ...
Christos G. Panayiotou, Christos G. Cassandras, We...
FOCS
2008
IEEE
16 years 22 days ago
What Can We Learn Privately?
Learning problems form an important category of computational tasks that generalizes many of the computations researchers apply to large real-life data sets. We ask: what concept ...
Shiva Prasad Kasiviswanathan, Homin K. Lee, Kobbi ...
STACS
2005
Springer
15 years 11 months ago
Kolmogorov-Loveland Randomness and Stochasticity
An infinite binary sequence X is Kolmogorov-Loveland (or KL) random if there is no computable non-monotonic betting strategy that succeeds on X in the sense of having an unbounde...
Wolfgang Merkle, Joseph S. Miller, André Ni...
SIGGRAPH
1999
ACM
15 years 10 months ago
Realistic, Hardware-Accelerated Shading and Lighting
With fast 3D graphics becoming more and more available even on low end platforms, the focus in hardware-accelerated rendering is beginning to shift towards higher quality renderin...
Wolfgang Heidrich, Hans-Peter Seidel
ICDE
2002
IEEE
116views Database» more  ICDE 2002»
16 years 7 months ago
SCADDAR: An Efficient Randomized Technique to Reorganize Continuous Media Blocks
Scalable storage architectures allow for the addition of disks to increase storage capacity and/or bandwidth. In its general form, disk scaling also refers to disk removals when e...
Ashish Goel, Cyrus Shahabi, Shu-Yuen Didi Yao, Rog...