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» Randomized Algorithms and Complexity Theory
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SODA
2000
ACM
95views Algorithms» more  SODA 2000»
15 years 1 months ago
Towards a theory of cache-efficient algorithms
We present a model that enables us to analyze the running time of an algorithm on a computer with a memory hierarchy with limited associativity, in terms of various cache parameter...
Sandeep Sen, Siddhartha Chatterjee
PODC
2011
ACM
14 years 2 months ago
MIS on trees
A maximal independent set on a graph is an inclusion-maximal set of mutually non-adjacent nodes. This basic symmetry breaking structure is vital for many distributed algorithms, w...
Christoph Lenzen, Roger Wattenhofer
CORR
2000
Springer
134views Education» more  CORR 2000»
14 years 11 months ago
Learning Complexity Dimensions for a Continuous-Time Control System
This paper takes a computational learning theory approach to a problem of linear systems identification. It is assumed that inputs are generated randomly from a known class consist...
Pirkko Kuusela, Daniel Ocone, Eduardo D. Sontag
CORR
2007
Springer
169views Education» more  CORR 2007»
14 years 11 months ago
Algorithmic Complexity Bounds on Future Prediction Errors
We bound the future loss when predicting any (computably) stochastic sequence online. Solomonoff finitely bounded the total deviation of his universal predictor M from the true d...
Alexey V. Chernov, Marcus Hutter, Jürgen Schm...
EATCS
2002
141views more  EATCS 2002»
14 years 11 months ago
Recent Developments in Explicit Constructions of Extractors
Extractors are functions which are able to "extract" random bits from arbitrary distributions which "contain" sufficient randomness. Explicit constructions of ...
Ronen Shaltiel