889 search results - page 75 / 178 » Observational Learning in Random Networks |
IEEEVAST
2010
13 years 4 months ago
2010
Modern machine learning techniques provide robust approaches for data-driven modeling and critical information extraction, while human experts hold the advantage of possessing hig...
NECO
2010
13 years 7 months ago
2010
Abstract: Reservoir Computing (RC) systems are powerful models for online computations on input sequences. They consist of a memoryless readout neuron which is trained on top of a ...
WADS
2007
Springer
14 years 3 months ago
2007
Springer
Abstract. Assumptions about node density in the Sensor Networks literature are frequently too strong or too weak. Neither absolutely arbitrary nor uniform deployment seem feasible ...
SIGMETRICS
2005
ACM
14 years 2 months ago
2005
ACM
—To model P2P networks that are commonly faced with high rates of churn and random departure decisions by end-users, this paper investigates the resilience of random graphs to li...
ICML
2008
IEEE
14 years 10 months ago
2008
IEEE
We consider the task of reinforcement learning in an environment in which rare significant events occur independently of the actions selected by the controlling agent. If these ev...