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ICASSP
2010
IEEE
15 years 6 months ago
Discriminative training methods for language models using conditional entropy criteria
This paper addresses the problem of discriminative training of language models that does not require any transcribed acoustic data. We propose to minimize the conditional entropy ...
Jui-Ting Huang, Xiao Li, Alex Acero
CORR
2010
Springer
155views Education» more  CORR 2010»
15 years 6 months ago
Data-driven Co-clustering Model of Internet Usage in Large Mobile Societies
Design and simulation of future mobile networks will center around human interests and behavior. We propose a design paradigm for mobile networks driven by realistic models of use...
Saeed Moghaddam, Ahmed Helmy, Sanjay Ranka, Manas ...
JSW
2007
94views more  JSW 2007»
15 years 6 months ago
Scoop Methodology: Modeling, Simulation And Analysis For Cooperative Systems
Abstract— In this paper, we present our methodology proposal for cooperative remote systems modeling. Its aim is to develop models of existing or planned cooperative systems. The...
David Saint-Voirin, Christophe Lang, Hervé ...
ICCSA
2005
Springer
16 years 1 days ago
M of N Features vs. Intrusion Detection
In order to complement the incomplete training audit trails, model generalization is always utilized to infer more unknown knowledge for intrusion detection. Thus, it is important ...
Zhuowei Li, Amitabha Das
ESA
2008
Springer
102views Algorithms» more  ESA 2008»
15 years 7 months ago
RFQ: Redemptive Fair Queuing
Fair-queuing schedulers provide clients with bandwidth or latency guarantees provided they are well-behaved i.e. the requested service is always within strict predefined limits. V...
Ajay Gulati, Peter J. Varman