Sciweavers

ICASSP
2011
IEEE
13 years 4 months ago
Social norm based incentive mechanisms for peer-to-peer networks
In this paper, we build an analytical framework for the design and analysis of a new family of social norm based incentive mechanisms for peer-to-peer (P2P) networks. With this fr...
Yu Zhang, Jaeok Park, Mihaela van der Schaar
TWC
2010
13 years 7 months ago
Random access transport capacity
Abstract--We develop a new metric for quantifying end-toend throughput in multihop wireless networks, which we term random access transport capacity, since the interference model p...
Jeffrey G. Andrews, Steven Weber, Marios Kountouri...
CORR
2010
Springer
105views Education» more  CORR 2010»
13 years 7 months ago
Universal and Robust Distributed Network Codes
Random linear network codes can be designed and implemented in a distributed manner, with low computational complexity. However, these codes are classically implemented [1] over fi...
Tracey Ho, Sidharth Jaggi, Svitlana Vyetrenko, Lin...
IJON
2008
88views more  IJON 2008»
14 years 17 days ago
Neural network construction and training using grammatical evolution
The term neural network evolution usually refers to network topology evolution leaving the network's parameters to be trained using conventional algorithms. In this paper we ...
Ioannis G. Tsoulos, Dimitris Gavrilis, Euripidis G...
NIPS
1997
14 years 1 months ago
A 1, 000-Neuron System with One Million 7-bit Physical Interconnections
An asynchronous PDM (Pulse-Density-Modulating) digital neural network system has been developed in our laboratory. It consists of one thousand neurons that are physically intercon...
Yuzo Hirai
UAI
2001
14 years 1 months ago
When do Numbers Really Matter?
Common wisdom has it that small distinctions in the probabilities quantifying a belief network do not matter much for the results of probabilistic queries. Yet, one can develop re...
Hei Chan, Adnan Darwiche
ICDAR
2003
IEEE
14 years 5 months ago
A Neural-Evolutionary Approach for Feature and Architecture Selection in Online Handwriting Recognition
An automatic recognition of online handwritten text has been an on-going research problem for nearly four decades. It has been gaining more interest due to the increasing populari...
Brijesh Verma, Moumita Ghosh
IJCNN
2006
IEEE
14 years 6 months ago
A Variable Node-to-Node-Link Neural Network and Its Application to Hand-Written Recognition
- This paper presents a variable node-to-node-link neural network (VN2 NN) trained by real-coded genetic algorithm (RCGA). The VN2 NN exhibits a node-to-node relationship in the hi...
Sai-Ho Ling, F. H. Frank Leung, Hak-Keung Lam
AIMS
2009
Springer
14 years 7 months ago
A Statistical Analysis of Network Parameters for the Self-management of Lambda-Connections
Network monitoring plays an important role in network management. Through the analysis of network parameters (e.g., flow throughput), managers can observe network behavior and mak...
Tiago Fioreze, Lisandro Zambenedetti Granville, Ra...
WWW
2005
ACM
15 years 1 months ago
Association search in semantic web: search + inference
Association search is to search for certain instances in semantic web and then make inferences from and about the instances we have found. In this paper, we propose the problem of...
Bangyong Liang, Jie Tang, Juan-Zi Li