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NCA
2010
IEEE
13 years 6 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
13 years 9 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»
14 years 2 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»
14 years 4 days 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
13 years 10 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...