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APIN
1999
107views more  APIN 1999»
15 years 2 months ago
Massively Parallel Probabilistic Reasoning with Boltzmann Machines
We present a method for mapping a given Bayesian network to a Boltzmann machine architecture, in the sense that the the updating process of the resulting Boltzmann machine model pr...
Petri Myllymäki
ATAL
2010
Springer
15 years 4 months ago
Exploiting scale invariant dynamics for efficient information propagation in large teams
Large heterogeneous teams will often be in situations where sensor data that is uncertain and conflicting is shared across a peer-to-peer network. Not every team member will have ...
Robin Glinton, Paul Scerri, Katia P. Sycara
CIKM
2005
Springer
15 years 8 months ago
Supporting ranked search in parallel search cluster networks
We investigate how to support ranked keyword search in a Parallel Search Cluster Network, which is a newly proposed peer-to-peer network overlay. In particular, we study how to eï...
Fang Xiong, Qiong Luo, Dyce Jing Zhao
PADS
2005
ACM
15 years 8 months ago
Parallel Event-Driven Neural Network Simulations Using the Hodgkin-Huxley Neuron Model
Neural systems are composed of a large number of highly-connected neurons and are widely simulated within the neurological community. In this paper, we examine the application of ...
Collin J. Lobb, Zenas Chao, Richard M. Fujimoto, S...
ICC
2009
IEEE
127views Communications» more  ICC 2009»
15 years 9 months ago
Dynamic Coexistence of Frequency Hopping Networks Using Parallel and Gaussian Allocations
Abstract—This paper studies the coexistence of several independent and dynamic wireless networks using the frequency hopping technique in the unlicensed radio band. We propose a ...
Mohammad Masud Hasan, Ravi Prakash, Jason P. Jue