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GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
15 years 1 months ago
A hybrid method for tuning neural network for time series forecasting
This paper presents an study about a new Hybrid method GRASPES - for time series prediction, inspired in F. Takens theorem and based on a multi-start metaheuristic for combinatori...
Aranildo Rodrigues Lima Junior, Tiago Alessandro E...
87
Voted
WAIM
2009
Springer
15 years 7 months ago
SLICE: A Novel Method to Find Local Linear Correlations by Constructing Hyperplanes
Finding linear correlations in dataset is an important data mining task, which can be widely applied in the real world. Existing correlation clustering methods combine clustering w...
Liang Tang, Changjie Tang, Lei Duan, Yexi Jiang, J...
IPPS
2007
IEEE
15 years 7 months ago
Message Routing and Scheduling in Optical Multistage Networks using Bayesian Inference method on AI algorithms
Optical Multistage Interconnection Networks (MINs) suffer from optical-loss during switching and crosstalk problem in the switches. The crosstalk problem is solved by routing mess...
Ajay K. Katangur, Somasheker Akkaladevi
FGR
2004
IEEE
131views Biometrics» more  FGR 2004»
15 years 4 months ago
Active Morphable Model: An Efficient Method for Face Analysis
Multidimensional Morphable Model is a powerful model to analyze and synthesize human faces. However, the stochastic gradient descent algorithm adopted to match the Morphable Model...
Xun Xu, Changshui Zhang, Thomas S. Huang
85
Voted
EOR
2008
72views more  EOR 2008»
15 years 20 days ago
The car sequencing problem: Overview of state-of-the-art methods and industrial case-study of the ROADEF'2005 challenge problem
The ROADEF challenge is organized every two years by the French Society of Operations Research and Decision-Making Aid. The goal is to allow industrial partners to witness recent ...
Christine Solnon, Van Dat Cung, Alain Nguyen, Chri...