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EMNLP
2009
15 years 4 months ago
Stream-based Randomised Language Models for SMT
Randomised techniques allow very big language models to be represented succinctly. However, being batch-based they are unsuitable for modelling an unbounded stream of language whi...
Abby Levenberg, Miles Osborne
ICDM
2008
IEEE
112views Data Mining» more  ICDM 2008»
16 years 1 months ago
Supervised Inductive Learning with Lotka-Volterra Derived Models
We present a classification algorithm built on our adaptation of the Generalized Lotka-Volterra model, well-known in mathematical ecology. The training algorithm itself consists ...
Karen Hovsepian, Peter Anselmo, Subhasish Mazumdar
132
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ICONIP
2008
15 years 8 months ago
Improved Sparse Bump Modeling for Electrophysiological Data
Bump modeling is a method used to extract oscillatory bursts in electrophysiological signals, who are most likely to be representative of local synchronies. In this paper we presen...
François B. Vialatte, Justin Dauwels, Jordi...
COMCOM
2006
89views more  COMCOM 2006»
15 years 6 months ago
Quantifying the effects of recent protocol improvements to TCP: Impact on Web performance
We assess the state of Internet congestion control and error recovery through a controlled study that considers the integration of standards-track TCP error recovery and both TCP ...
Michele C. Weigle, Kevin Jeffay, F. Donelson Smith
TDSC
2011
15 years 1 months ago
Application-Level Diagnostic and Membership Protocols for Generic Time-Triggered Systems
Abstract— We present on-line tunable diagnostic and membership protocols for generic time-triggered (TT) systems to detect crashes, send/receive omission faults and network parti...
Marco Serafini, Péter Bokor, Neeraj Suri, J...