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ICML
2003
IEEE
14 years 9 months ago
Unsupervised Learning with Permuted Data
We consider the problem of unsupervised learning from a matrix of data vectors where in each row the observed values are randomly permuted in an unknown fashion. Such problems ari...
Sergey Kirshner, Sridevi Parise, Padhraic Smyth
SECON
2007
IEEE
14 years 3 months ago
High-Level Application Development is Realistic for Wireless Sensor Networks
—Programming Wireless Sensor Network (WSN) applications is known to be a difficult task. Part of the problem is that the resource limitations of typical WSN nodes force programm...
Marcin Karpinski, Vinny Cahill
LAMAS
2005
Springer
14 years 2 months ago
Multi-agent Relational Reinforcement Learning
In this paper we report on using a relational state space in multi-agent reinforcement learning. There is growing evidence in the Reinforcement Learning research community that a r...
Tom Croonenborghs, Karl Tuyls, Jan Ramon, Maurice ...
ISSRE
2002
IEEE
14 years 1 months ago
Toward A Quantifiable Definition of Software Faults
An important aspect of developing models relating the number and type of faults in a software system to a set of structural measurement is defining what constitutes a fault. By de...
John C. Munson, Allen P. Nikora
ICIP
2003
IEEE
14 years 10 months ago
Robust line detection using a weighted MSE estimator
In this paper we introduce a novel line detection algorithm based on a weighted minimum mean square error (MSE) formulation. This algorithm has been developed to enable an autonom...
Guido M. Schuster, Aggelos K. Katsaggelos