74 search results - page 8 / 15 » Learning in Dynamic Environments: Decision Trees for Data St... |
QRE
2010
2010
Improving quality of prediction in highly dynamic environments using approximate dynamic programming
14 years 8 months ago
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...
JMLR
2010
14 years 4 months ago
2010
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA includes a collecti...
ICDE
2009
IEEE
15 years 4 months ago
2009
IEEE
— Existing stream processing systems are optimized for a specific metric, which may limit their applicability to diverse applications and environments. This paper presents XFlow...
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
Markov decision processes are an effective tool in modeling decision-making in uncertain dynamic environments. Since the parameters of these models are typically estimated from da...
TNN
2008
14 years 9 months ago
2008
This paper proposes an incremental multiple-object recognition and localization (IMORL) method. The objective of IMORL is to adaptively learn multiple interesting objects in an ima...