2421 search results - page 173 / 485 » Approximate Flow-Aware Networking |
ICPR
2006
IEEE
16 years 4 months ago
2006
IEEE
To accelerate the learning of reinforcement learning, many types of function approximation are used to represent state value. However function approximation reduces the accuracy o...
137
Voted
ADHOCNOW
2005
Springer
15 years 9 months ago
2005
Springer
Mobile ad hoc networks (MANET) are dynamic networks formed on-the-fly as mobile nodes move in and out of each others’ transmission ranges. In general, the mobile ad hoc networki...
123
Voted
IJCNN
2006
IEEE
15 years 9 months ago
2006
IEEE
— This paper shows the advantage of using neural network modularity over conventional learning schemes to approximate complex functions. Indeed, it is difficult for artificial ...
113
Voted
NIPS
2000
15 years 4 months ago
2000
Experimental data show that biological synapses behave quite differently from the symbolic synapses in common artificial neural network models. Biological synapses are dynamic, i....
130
Voted
ICANN
2007
Springer
15 years 9 months ago
2007
Springer
Neurocognitive processes responsible for representation of meaning and understanding of words are investigated. First a review of current knowledge about word representation, recen...