Sciweavers

566 search results - page 77 / 114
» Nonlinear Predictive Control with a Gaussian Process Model
Sort
View
120
Voted
QRE
2010
129views more  QRE 2010»
15 years 8 days ago
Improving quality of prediction in highly dynamic environments using approximate dynamic programming
In many applications, decision making under uncertainty often involves two steps- prediction of a certain quality parameter or indicator of the system under study and the subseque...
Rajesh Ganesan, Poornima Balakrishna, Lance Sherry
PKDD
2009
Springer
152views Data Mining» more  PKDD 2009»
15 years 8 months ago
Feature Selection for Value Function Approximation Using Bayesian Model Selection
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
Tobias Jung, Peter Stone
103
Voted
ISESE
2006
IEEE
15 years 8 months ago
Predicting component failures at design time
How do design decisions impact the quality of the resulting software? In an empirical study of 52 ECLIPSE plug-ins, we found that the software design as well as past failure histo...
Adrian Schröter, Thomas Zimmermann, Andreas Z...
EVOW
2010
Springer
15 years 7 months ago
Evolutionary Sound Synthesis: Rendering Spectrograms from Cellular Automata Histograms
In this paper we report on the synthesis of sounds using cellular automata, specifically the multitype voter model. The mapping process adopted is based on digital signal processin...
Jaime Serquera, Eduardo R. Miranda
IEAAIE
2009
Springer
14 years 11 months ago
Constructing Decisional DNA on Renewable Energy: A Case Study
Knowledge engineering techniques are becoming useful and popular components of hybrid integrated systems used to solve complicated practical problems in different fields. Knowledge...
Cesar Sanín, Edward Szczerbicki