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NCA
2010
IEEE
14 years 10 months ago
Genetic algorithm-based training for semi-supervised SVM
The Support Vector Machine (SVM) is an interesting classifier with excellent power of generalization. In this paper, we consider applying the SVM to semi-supervised learning. We p...
Mathias M. Adankon, Mohamed Cheriet
WSC
2004
15 years 1 months ago
"One" a New Tool for Supply Chain Network Optimization and Simulation
Nowadays, in a hotly competitive environment, companies are continuously trying to provide products and/or services to customers faster, cheaper, and better than the competitors d...
Hongwei Ding, Lyès Benyoucef, Xiaolan Xie, ...
GECCO
2007
Springer
215views Optimization» more  GECCO 2007»
15 years 6 months ago
Estimating the spectral sensitivity of a digital sensor using calibration targets
A digital sensor which is used inside a digital camera usually responds to a range of wavelengths. The response of the sensor is proportional to the product of the irradiance fall...
Marc Ebner
GECCO
2006
Springer
198views Optimization» more  GECCO 2006»
15 years 3 months ago
Reward allotment in an event-driven hybrid learning classifier system for online soccer games
This paper describes our study into the concept of using rewards in a classifier system applied to the acquisition of decision-making algorithms for agents in a soccer game. Our a...
Yuji Sato, Yosuke Akatsuka, Takenori Nishizono
ESANN
2007
15 years 1 months ago
The Recurrent Control Neural Network
This paper presents our Recurrent Control Neural Network (RCNN), which is a model-based approach for a data-efficient modelling and control of reinforcement learning problems in di...
Anton Maximilian Schäfer, Steffen Udluft, Han...