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» Machine-Learning Applications of Algorithmic Randomness
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CORR
2008
Springer
123views Education» more  CORR 2008»
13 years 8 months ago
Networks become navigable as nodes move and forget
Abstract. We propose a dynamic process for network evolution, aiming at explaining the emergence of the small world phenomenon, i.e., the statistical observation that any pair of i...
Augustin Chaintreau, Pierre Fraigniaud, Emmanuelle...
JIFS
2008
155views more  JIFS 2008»
13 years 8 months ago
Improving supervised learning performance by using fuzzy clustering method to select training data
The crucial issue in many classification applications is how to achieve the best possible classifier with a limited number of labeled data for training. Training data selection is ...
Donghai Guan, Weiwei Yuan, Young-Koo Lee, Andrey G...
TEC
2008
104views more  TEC 2008»
13 years 7 months ago
Coevolution of Fitness Predictors
Abstract--We present an algorithm that coevolves fitness predictors, optimized for the solution population, which reduce fitness evaluation cost and frequency, while maintaining ev...
Michael D. Schmidt, Hod Lipson
TPDS
2008
136views more  TPDS 2008»
13 years 7 months ago
Data Gathering with Tunable Compression in Sensor Networks
We study the problem of constructing a data gathering tree over a wireless sensor network in order to minimize the total energy for compressing and transporting information from a ...
Yang Yu, Bhaskar Krishnamachari, Viktor K. Prasann...
CLUSTER
2002
IEEE
13 years 7 months ago
Online Prediction of the Running Time of Tasks
Abstract. We describe and evaluate the Running Time Advisor (RTA), a system that can predict the running time of a compute-bound task on a typical shared, unreserved commodity host...
Peter A. Dinda