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» Adversary lower bounds for nonadaptive quantum algorithms
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81
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ALGORITHMICA
2002
94views more  ALGORITHMICA 2002»
14 years 11 months ago
The Quantum Black-Box Complexity of Majority
We describe a quantum black-box network computing the majority of N bits with zerosided error using only 2 3 N + O( N log( -1 log N)) queries: the algorithm returns the correct an...
Thomas P. Hayes, Samuel Kutin, Dieter van Melkebee...
SIROCCO
2010
15 years 1 months ago
Asynchronous Deterministic Rendezvous in Bounded Terrains
Abstract. Two mobile agents (robots) have to meet in an a priori unknown bounded terrain modeled as a polygon, possibly with polygonal obstacles. Robots are modeled as points, and ...
Jurek Czyzowicz, David Ilcinkas, Arnaud Labourel, ...
81
Voted
ALT
1999
Springer
15 years 4 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
97
Voted
ICALP
2009
Springer
15 years 12 months ago
Testing Fourier Dimensionality and Sparsity
We present a range of new results for testing properties of Boolean functions that are defined in terms of the Fourier spectrum. Broadly speaking, our results show that the propert...
Parikshit Gopalan, Ryan O'Donnell, Rocco A. Served...
ALT
2002
Springer
15 years 8 months ago
Optimally-Smooth Adaptive Boosting and Application to Agnostic Learning
We describe a new boosting algorithm that is the first such algorithm to be both smooth and adaptive. These two features make possible performance improvements for many learning ...
Dmitry Gavinsky