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CORR
2010
Springer
122views Education» more  CORR 2010»
13 years 4 months ago
Open-Ended Evolutionary Robotics: an Information Theoretic Approach
This paper is concerned with designing self-driven fitness functions for Embedded Evolutionary Robotics. The proposed approach considers the entropy of the sensori-motor stream gen...
Pierre Delarboulas, Marc Schoenauer, Michèl...
CAS
2008
118views more  CAS 2008»
13 years 4 months ago
A Novel Method for Measuring the Structural Information Content of Networks
In this paper we first present a novel approach to determine the structural information content (graph entropy) of a network represented by an undirected and connected graph. Such...
Matthias Dehmer
GI
2008
Springer
13 years 5 months ago
Towards an automated detection of self-organizing behavior
Abstract: In this paper we present an entropy based method to analyze complex systems. Systems are treated as black boxes, which only expose information by some specified paramete...
Wolfgang Trumler, Mike Gerdes
NETWORKING
2007
13 years 6 months ago
Detecting 802.11 Wireless Hosts from Remote Passive Observations
Abstract. The wide deployment of 802.11 WLANs has led to the coexistence of wired and wireless clients in a network environment. This paper presents a robust technique to detect 80...
Valeria Baiamonte, Konstantina Papagiannaki, Gianl...
IMC
2007
ACM
13 years 6 months ago
A data streaming algorithm for estimating entropies of od flows
Entropy has recently gained considerable significance as an important metric for network measurement. Previous research has shown its utility in clustering traffic and detecting ...
Haiquan (Chuck) Zhao, Ashwin Lall, Mitsunori Ogiha...
FLAIRS
2007
13 years 6 months ago
Probabilistic Knowledge Processing and Remaining Uncertainty
Information is indispensable in preparing economic decisions purposefully. In this paper knowledge is represented by a probability distribution. Knowledge acquisition is realized ...
Elmar Reucher, Friedhelm Kulmann
CSB
2004
IEEE
136views Bioinformatics» more  CSB 2004»
13 years 8 months ago
Minimum Entropy Clustering and Applications to Gene Expression Analysis
Clustering is a common methodology for analyzing the gene expression data. In this paper, we present a new clustering algorithm from an information-theoretic point of view. First,...
Haifeng Li, Keshu Zhang, Tao Jiang
CHES
1999
Springer
133views Cryptology» more  CHES 1999»
13 years 8 months ago
Random Number Generators Founded on Signal and Information Theory
The strength of a cryptographic function depends on the amount of entropy in the cryptovariables that are used as keys. Using a large key length with a strong algorithm is false co...
David Paul Maher, Robert J. Rance
AGENTS
2001
Springer
13 years 9 months ago
Entropy and self-organization in multi-agent systems
Emergent self-organization in multi-agent systems appears to contradict the second law of thermodynamics. This paradox has been explained in terms of a coupling between the macro ...
H. Van Dyke Parunak, Sven Brueckner
SSIAI
2002
IEEE
13 years 9 months ago
Entropy Estimation for Segmentation of Multi-Spectral Chromosome Images
In the early 1990s, the state-of-the-art in commercial chromosome image acquisition was grayscale. Automated chromosome classification was based on the grayscale image and boundar...
Wade Schwartzkopf, Brian L. Evans, Alan C. Bovik