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ESANN
2006
15 years 5 months ago
Using Regression Error Characteristic Curves for Model Selection in Ensembles of Neural Networks
Regression Error Characteristic (REC) analysis is a technique for evaluation and comparison of regression models that facilitates the visualization of the performance of many regre...
Aloísio Carlos de Pina, Gerson Zaverucha
130
Voted
AIPS
2008
15 years 6 months ago
Using Constraint Networks on Timelines to Model and Solve Planning and Scheduling Problems
In the last decades, there has been an increasing interest in the connection between planning and constraint programming. Several approaches were used, leading to different forms ...
Cédric Pralet, Gérard Verfaillie
137
Voted
CDC
2009
IEEE
122views Control Systems» more  CDC 2009»
15 years 1 months ago
Reduced complexity models in the identification of dynamical networks: Links with sparsification problems
In many applicative scenarios it is important to derive information about the topology and the internal connections of more dynamical systems interacting together. Examples can be ...
Donatello Materassi, Giacomo Innocenti, Laura Giar...
111
Voted
AINA
2006
IEEE
15 years 9 months ago
Modeling, Predicting and Optimizing Redistribution between Clusters on Low Latency Networks
In this paper we study the problem of scheduling messages between two parallel machines connected by a low latency network during a data redistribution. We compare two approaches....
Emmanuel Jeannot, Frédéric Wagner
105
Voted
IWDC
2004
Springer
161views Communications» more  IWDC 2004»
15 years 9 months ago
Distributed Mobility Tracking for Ad Hoc Networks Based on an Autoregressive Model
Abstract. In ad hoc networks, node mobility causes the network topology to change dynamically over time, which complicates important tasks such as routing and flow control. We pro...
Zainab R. Zaidi, Brian L. Mark