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NIPS
2004
15 years 1 months ago
Hierarchical Bayesian Inference in Networks of Spiking Neurons
There is growing evidence from psychophysical and neurophysiological studies that the brain utilizes Bayesian principles for inference and decision making. An important open quest...
Rajesh P. N. Rao
IPPS
2007
IEEE
15 years 6 months ago
Replication Strategy in Unstructured Peer-to-Peer Systems
1 The unstructured Peer-to-Peer (P2P) systems usually use a “blind search” method to find the requested data object by propagating a query to a number of peers randomly. In or...
Guofu Feng, Yuquan Jiang, Guihai Chen, Qing Gu, Sa...
EDBT
2004
ACM
172views Database» more  EDBT 2004»
15 years 11 months ago
Content-Based Routing of Path Queries in Peer-to-Peer Systems
Peer-to-peer (P2P) systems are gaining increasing popularity as a scalable means to share data among a large number of autonomous nodes. In this paper, we consider the case in whic...
Georgia Koloniari, Evaggelia Pitoura
ECAI
2008
Springer
15 years 1 months ago
A probabilistic trust model for semantic peer-to-peer systems
Semantic peer to peer (P2P) systems are fully decentralized overlay networks of people or machines (called peers) sharing and searching varied resources (documents, videos, photos...
Gia Hien Nguyen, Philippe Chatalic, Marie-Christin...
ISIPTA
2003
IEEE
145views Mathematics» more  ISIPTA 2003»
15 years 5 months ago
An Extended Set-valued Kalman Filter
Set-valued estimation offers a way to account for imprecise knowledge of the prior distribution of a Bayesian statistical inference problem. The set-valued Kalman filter, which p...
Darryl Morrell, Wynn C. Stirling