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» Parameter learning for relational Bayesian networks
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AUSAI
2008
Springer
14 years 11 months ago
Character Recognition Using Hierarchical Vector Quantization and Temporal Pooling
In recent years, there has been a cross-fertilization of ideas between computational neuroscience models of the operation of the neocortex and artificial intelligence models of mac...
John Thornton, Jolon Faichney, Michael Blumenstein...
CORR
2010
Springer
118views Education» more  CORR 2010»
14 years 9 months ago
Large scale probabilistic available bandwidth estimation
The common utilization-based definition of available bandwidth and many of the existing tools to estimate it suffer from several important weaknesses: i) most tools report a point...
Frederic Thouin, Mark Coates, Michael G. Rabbat
101
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INFOCOM
2005
IEEE
15 years 3 months ago
A performance vs. cost framework for evaluating DHT design tradeoffs under churn
Abstract— Protocols for distributed hash tables (DHTs) incorporate features to achieve low latency for lookup requests in the face of churn, continuous changes in membership. The...
Jinyang Li, Jeremy Stribling, Robert Morris, M. Fr...
ICDM
2009
IEEE
109views Data Mining» more  ICDM 2009»
15 years 4 months ago
Knowledge Discovery from Citation Networks
—Knowledge discovery from scientific articles has received increasing attentions recently since huge repositories are made available by the development of the Internet and digit...
Zhen Guo, Zhongfei Zhang, Shenghuo Zhu, Yun Chi, Y...
BMCBI
2004
133views more  BMCBI 2004»
14 years 9 months ago
Artificial neural network approach for selection of susceptible single nucleotide polymorphisms and construction of prediction m
Background: Screening of various gene markers such as single nucleotide polymorphism (SNP) and correlation between these markers and development of multifactorial disease have pre...
Yasuyuki Tomita, Shuta Tomida, Yuko Hasegawa, Yoic...