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» New models and algorithms for programmable networks
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EMNLP
2010
14 years 10 months ago
Training Continuous Space Language Models: Some Practical Issues
Using multi-layer neural networks to estimate the probabilities of word sequences is a promising research area in statistical language modeling, with applications in speech recogn...
Hai Son Le, Alexandre Allauzen, Guillaume Wisniews...
80
Voted
ATAL
2011
Springer
14 years 22 days ago
A model of norm emergence and innovation in language change
We analyze and extend a recently proposed model of linguistic diffusion in social networks, to analytically derive time to convergence, and to account for the innovation phase of...
Samarth Swarup, Andrea Apolloni, Zsuzsanna Fagyal
94
Voted
TWC
2008
137views more  TWC 2008»
15 years 18 days ago
Reliability and route diversity in wireless networks
Abstract -We study the problem of communication reliability and diversity in multi-hop wireless networks. Our aim is to develop a new network model that better takes into account t...
Amir Ehsan Khandani, Jinane Abounadi, Eytan Modian...
WINET
2010
98views more  WINET 2010»
14 years 11 months ago
A mobility-based load control scheme in Hierarchical Mobile IPv6 networks
By introducing a mobility anchor point (MAP), Hierarchical Mobile IPv6 (HMIPv6) reduces the signaling overhead and handoff latency associated with Mobile IPv6. In this paper, we pr...
Sangheon Pack, Taekyoung Kwon, Yanghee Choi
NECO
2008
170views more  NECO 2008»
15 years 21 days ago
Representational Power of Restricted Boltzmann Machines and Deep Belief Networks
Deep Belief Networks (DBN) are generative neural network models with many layers of hidden explanatory factors, recently introduced by Hinton et al., along with a greedy layer-wis...
Nicolas Le Roux, Yoshua Bengio