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» Machine-Learning Applications of Algorithmic Randomness
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SAGA
2001
Springer
14 years 20 days ago
Evolutionary Search for Smooth Maps in Motor Control Unit Calibration
We study the combinatorial optimization task of choosing the smoothest map from a given family of maps, which is motivated from motor control unit calibration. The problem is of a ...
Jan Poland, Kosmas Knödler, Alexander Mittere...
PLDI
2006
ACM
14 years 2 months ago
DieHard: probabilistic memory safety for unsafe languages
Applications written in unsafe languages like C and C++ are vulnerable to memory errors such as buffer overflows, dangling pointers, and reads of uninitialized data. Such errors ...
Emery D. Berger, Benjamin G. Zorn
SODA
2003
ACM
121views Algorithms» more  SODA 2003»
13 years 9 months ago
Competitiveness via consensus
We introduce the following consensus estimate problem. Several processors hold private and possibly different lower bounds on a value. The processors do not communicate with each ...
Andrew V. Goldberg, Jason D. Hartline
TSMC
1998
78views more  TSMC 1998»
13 years 7 months ago
Automata learning and intelligent tertiary searching for stochastic point location
—Consider the problem of a robot (learning mechanism or algorithm) attempting to locate a point on a line. The mechanism interacts with a random environment which essentially inf...
B. John Oommen, Govindachari Raghunath
TIT
2002
129views more  TIT 2002»
13 years 7 months ago
Arbitrary source models and Bayesian codebooks in rate-distortion theory
-- We characterize the best achievable performance of lossy compression algorithms operating on arbitrary random sources, and with respect to general distortion measures. Direct an...
Ioannis Kontoyiannis, Junshan Zhang