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GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
16 years 23 days ago
Cascaded generic XCS to learn about reminding preferences
We are developing an adaptive reminding system, which learns when and how to present notifications. In this paper, we focus on our XCS-based model, composed of two cascaded sets ...
Nadine Richard, Samuel Tardieu, Seiji Yamada
PG
2003
IEEE
15 years 12 months ago
Neural Meshes: Statistical Learning Based on Normals
We present a method for the adaptive reconstruction of a surface directly from an unorganized point cloud. The algorithm is based on an incrementally expanding Neural Network and ...
Won-Ki Jeong, Ioannis P. Ivrissimtzis, Hans-Peter ...
FLAIRS
2000
15 years 8 months ago
A Multiagent Architecture to Support Distance Learning Personalization on the Web
This article presents the description of the objectives, the structure and the functionality of an interactive system intended to focus the teaching on the performanceof the stude...
Jesus Boticario, Elena Gaudioso
CIIA
2009
15 years 7 months ago
Dynamic Scheduling in Petroleum Process using Reinforcement Learning
Petroleum industry production systems are highly automatized. In this industry, all functions (e.g., planning, scheduling and maintenance) are automated and in order to remain comp...
Nassima Aissani, Bouziane Beldjilali
UM
2007
Springer
16 years 21 days ago
Eliciting Adaptation Knowledge from On-Line Tutors to Increase Motivation
In the classroom, teachers know how to motivate their students and how to exploit this knowledge to adapt or optimize their instruction when a student shows signs of demotivation. ...
Teresa Hurley, Stephan Weibelzahl