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» Discrepancy-Based Additive Bounding Procedures
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IDA
1997
Springer
13 years 11 months ago
How to Find Big-Oh in Your Data Set (and How Not to)
The empirical curve bounding problem is de ned as follows. Suppose data vectors X Y are presented such that E(Y i]) = f(X i]) where f(x) is an unknown function. The problem is to a...
Catherine C. McGeoch, Doina Precup, Paul R. Cohen
APPROX
2010
Springer
138views Algorithms» more  APPROX 2010»
13 years 9 months ago
Improved Rounding for Parallel Repeated Unique Games
We show a tight relation between the behavior of unique games under parallel repetition and their semidefinite value. Let G be a unique game with alphabet size k. Suppose the semid...
David Steurer
NIPS
1998
13 years 8 months ago
Dynamically Adapting Kernels in Support Vector Machines
The kernel-parameter is one of the few tunable parameters in Support Vector machines, controlling the complexity of the resulting hypothesis. Its choice amounts to model selection...
Nello Cristianini, Colin Campbell, John Shawe-Tayl...
CORR
2011
Springer
161views Education» more  CORR 2011»
12 years 11 months ago
Quadratic Goldreich-Levin Theorems
Decomposition theorems in classical Fourier analysis enable us to express a bounded function in terms of few linear phases with large Fourier coefficients plus a part that is pseu...
Madhur Tulsiani, Julia Wolf
DATE
2004
IEEE
144views Hardware» more  DATE 2004»
13 years 11 months ago
Smaller Two-Qubit Circuits for Quantum Communication and Computation
We show how to implement an arbitrary two-qubit unitary operation using any of several quantum gate libraries with small a priori upper bounds on gate counts. In analogy to librar...
Vivek V. Shende, Igor L. Markov, Stephen S. Bulloc...