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» Algorithmic randomness of continuous functions
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ICRA
2002
IEEE
106views Robotics» more  ICRA 2002»
14 years 4 months ago
An Improved Random Neighborhood Graph Approach
As a general framework to determine a collision-free feedback motion strategies, the Random Neighborhood Graph (RNG) approach [19] defines a global navigation function over an ap...
Libo Yang, Steven M. LaValle
IJCAI
1997
14 years 14 days ago
Extracting Propositions from Trained Neural Networks
This paper presents an algorithm for extract­ ing propositions from trained neural networks. The algorithm is a decompositional approach which can be applied to any neural networ...
Hiroshi Tsukimoto
TIT
2010
144views Education» more  TIT 2010»
13 years 5 months ago
Generalized and doubly generalized LDPC codes with random component codes for the binary erasure channel
In this paper, a method for the asymptotic analysis of generalized low-density parity-check (GLDPC) codes and doubly generalized low-density parity-check (D-GLDPC) codes over the b...
Enrico Paolini, Marc P. C. Fossorier, Marco Chiani
DAGSTUHL
2004
14 years 16 days ago
Optimal algorithms for global optimization in case of unknown Lipschitz constant
We consider the global optimization problem for d-variate Lipschitz functions which, in a certain sense, do not increase too slowly in a neighborhood of the global minimizer(s). O...
Matthias U. Horn
ESA
2008
Springer
134views Algorithms» more  ESA 2008»
14 years 27 days ago
Improved Randomized Results for That Interval Selection Problem
Online interval selection is a problem in which intervals arrive one by one, sorted by their left endpoints. Each interval has a length and a non-negative weight associated with i...
Leah Epstein, Asaf Levin