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» Algorithms for Quantum Computation: Discrete Logarithms and ...
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FOCS
2006
IEEE
14 years 1 months ago
New Results for Learning Noisy Parities and Halfspaces
We address well-studied problems concerning the learnability of parities and halfspaces in the presence of classification noise. Learning of parities under the uniform distributi...
Vitaly Feldman, Parikshit Gopalan, Subhash Khot, A...
IPPS
2010
IEEE
13 years 5 months ago
Parallelization of DQMC simulation for strongly correlated electron systems
Abstract--Determinant Quantum Monte Carlo (DQMC) simulation has been widely used to reveal macroscopic properties of strong correlated materials. However, parallelization of the DQ...
Che-Rung Lee, I-Hsin Chung, Zhaojun Bai
SODA
2000
ACM
85views Algorithms» more  SODA 2000»
13 years 8 months ago
Improved bounds on the sample complexity of learning
We present a new general upper bound on the number of examples required to estimate all of the expectations of a set of random variables uniformly well. The quality of the estimat...
Yi Li, Philip M. Long, Aravind Srinivasan
PODC
2005
ACM
14 years 1 months ago
Maximal independent sets in radio networks
We study the distributed complexity of computing a maximal independent set (MIS) in radio networks with completely unknown topology, asynchronous wake-up, and no collision detecti...
Thomas Moscibroda, Roger Wattenhofer
PODC
2005
ACM
14 years 1 months ago
On the locality of bounded growth
Many large-scale networks such as ad hoc and sensor networks, peer-to-peer networks, or the Internet have the property that the number of independent nodes does not grow arbitrari...
Fabian Kuhn, Thomas Moscibroda, Roger Wattenhofer