134 search results - page 5 / 27 » Optimally Learning Social Networks with Activations and Supp... |
87
Voted
DEBU
2006
14 years 9 months ago
2006
Automated reasoning about human behavior is a central goal of artificial intelligence. In order to engage and intervene in a meaningful way, an intelligent system must be able to ...
NIPS
1994
14 years 10 months ago
1994
For many types of machine learning algorithms, one can compute the statistically optimal" way to select training data. In this paper, we review how optimal data selection tec...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
We start by formulating the resource sharing in peer-to-peer (P2P) networks as a random-matching gift-giving game, where self-interested peers aim at maximizing their own long-ter...
64
Voted
ICANN
2003
Springer
15 years 2 months ago
2003
Springer
Many activity dependent learning rules have been proposed in order to model long-term potentiation (LTP). Our aim is to derive a spike time dependent learning rule from a probabili...
101
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CDC
2010
IEEE
14 years 4 months ago
2010
IEEE
Online Social networks are increasingly being seen as a means of obtaining awareness of user preferences. Such awareness could be used to target goods and services at them. We cons...