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IJNS
2010
106views more  IJNS 2010»
13 years 7 months ago
Cascade Process Modeling with Mechanism-Based Hierarchical Neural Networks
Abstract: Cascade process, such as wastewater treatment plant, includes many nonlinear subsystems and many variables. When the number of sub-systems is big, the input-output relati...
Qiumei Cong, Wen Yu, Tianyou Chai
TASLP
2010
97views more  TASLP 2010»
13 years 3 months ago
Hierarchical Bayesian Language Models for Conversational Speech Recognition
Traditional n-gram language models are widely used in state-of-the-art large vocabulary speech recognition systems. This simple model suffers from some limitations, such as overfi...
Songfang Huang, Steve Renals
NOMS
2010
IEEE
222views Communications» more  NOMS 2010»
13 years 7 months ago
Bayesian decision aggregation in collaborative intrusion detection networks
—Cooperation between intrusion detection systems (IDSs) allows collective information and experience from a network of IDSs to be shared to improve the accuracy of detection. A c...
Carol J. Fung, Quanyan Zhu, Raouf Boutaba, Tamer B...
EACL
2006
ACL Anthology
13 years 10 months ago
A Two-Stage Approach to Retrieving Answers for How-To Questions
This paper addresses the problem of automatically retrieving answers for how-to questions, focusing on those that inquire about the procedure for achieving a specific goal. For su...
Ling Yin
VLSID
2002
IEEE
127views VLSI» more  VLSID 2002»
14 years 9 months ago
Switching Activity Estimation of Large Circuits using Multiple Bayesian Networks
Switching activity estimation is a crucial step in estimating dynamic power consumption in CMOS circuits. In [1], we proposed a new switching probability model based on Bayesian N...
Sanjukta Bhanja, N. Ranganathan