Sciweavers

1150 search results - page 88 / 230
» Tackling Large State Spaces in Performance Modelling
Sort
View
169
Voted
AI
1998
Springer
15 years 1 months ago
Model-Based Average Reward Reinforcement Learning
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Prasad Tadepalli, DoKyeong Ok
123
Voted
CONNECTION
2010
144views more  CONNECTION 2010»
14 years 11 months ago
The roles of the amygdala in the affective regulation of body, brain, and behaviour
Abstract. Despite the great amount of knowledge produced by the neuroscientific literature affective phenomena, current models tackling noncognitive aspects of behavior are often b...
Marco Mirolli, Francesco Mannella, Gianluca Baldas...
GLOBECOM
2007
IEEE
15 years 8 months ago
Robust Optimization for Selecting NetFlow Points of Measurement in an IP Network
— NetFlow is a solution to make an in-depth traffic analysis possible in IP networks. Most of the telecommunication operators have already deployed it, or intend to do so, for n...
Mustapha Bouhtou, Olivier Klopfenstein
ICASSP
2011
IEEE
14 years 5 months ago
Smart grid monitoring for intrusion and fault detection with new locally optimum testing procedures
The vulnerability of smart grid systems is a growing concern. Signal detection theory is employed here to detect a change in the system. We employ a discrete-time linear state spa...
Qian He, Rick S. Blum
145
Voted
AMOST
2007
ACM
15 years 5 months ago
Combining test case generation for component and integration testing
When integrating dierent system components, the interaction between dierent features is often error prone. Typically errors occur on interruption, concurrency or disabling/ enabli...
Sebastian Benz