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» Managing Complexity in Large Learning Robotic Systems
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ATAL
2005
Springer
14 years 1 months ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson
KDD
2009
ACM
168views Data Mining» more  KDD 2009»
14 years 8 months ago
Sustainable operation and management of data center chillers using temporal data mining
Motivation: Data centers are a critical component of modern IT infrastructure but are also among the worst environmental offenders through their increasing energy usage and the re...
Debprakash Patnaik, Manish Marwah, Ratnesh K. Shar...
VISUAL
1999
Springer
14 years 4 days ago
Visual Presentations in Multimedia Learning: Conditions that Overload Visual Working Memory
How should we design visual presentations to explain how a complex system works? One promising approach involves multimedia presentation of explanations in visual and verbal format...
Roxana Moreno, Richard E. Mayer
SAC
2006
ACM
13 years 7 months ago
Combining supervised and unsupervised monitoring for fault detection in distributed computing systems
Fast and accurate fault detection is becoming an essential component of management software for mission critical systems. A good fault detector makes possible to initiate repair a...
Haifeng Chen, Guofei Jiang, Cristian Ungureanu, Ke...
ADBIS
2007
Springer
171views Database» more  ADBIS 2007»
14 years 2 months ago
Quete: Ontology-Based Query System for Distributed Sources
The exponential growth of the web and the extended use of database management systems in widely distributed information systems has brought to the fore the need for seamless interc...
Haridimos Kondylakis, Anastasia Analyti, Dimitris ...