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» Using neural networks for quality management
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NPL
1998
133views more  NPL 1998»
15 years 3 months ago
Parallel Coarse Grain Computing of Boltzmann Machines
Abstract. The resolution of combinatorial optimization problems can greatly benefit from the parallel and distributed processing which is characteristic of neural network paradigm...
Julio Ortega, Ignacio Rojas, Antonio F. Día...

Publication
448views
17 years 2 months ago
Congestion Control using Multilevel Explicit Congestion Notification
Congestion remains one of the main obstacles to the Quality of Service (QoS) on the Internet. We think that a good solution to Internet congestion should optimally combine congesti...
Arjan Durresi, Leonard Barolli, Raj Jain, Makoto T...
KDD
2004
ACM
166views Data Mining» more  KDD 2004»
16 years 4 months ago
Predicting prostate cancer recurrence via maximizing the concordance index
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
Lian Yan, David Verbel, Olivier Saidi
IPPS
2003
IEEE
15 years 9 months ago
A Genetic Approach to Planning in Heterogeneous Computing Environments
Planning is an artificial intelligence problem with a wide range of real-world applications. Genetic algorithms, neural networks, and simulated annealing are heuristic search met...
Han Yu, Dan C. Marinescu, Annie S. Wu, Howard Jay ...
EENERGY
2010
15 years 8 months ago
Statistical static capacity management in virtualized data centers supporting fine grained QoS specification
From an ecological but also from an economical and in the meantime a technical view the fast ongoing increase of power consumption in today’s data centers is no longer feasible....
Marko Hoyer, Kiril Schröder, Wolfgang Nebel