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TNN
1998
92views more  TNN 1998»
15 years 6 months ago
Inductive inference from noisy examples using the hybrid finite state filter
—Recurrent neural networks processing symbolic strings can be regarded as adaptive neural parsers. Given a set of positive and negative examples, picked up from a given language,...
Marco Gori, Marco Maggini, Enrico Martinelli, Giov...
MONET
2007
98views more  MONET 2007»
15 years 6 months ago
A Markov Model for Indoor Ultra-wideband Channel with People Shadowing
Abstract For an indoor ultra-wideband (UWB) communication system, the line-of-sight (LOS) between the transmitter and receiver may be frequently blocked by moving people. Blocking ...
Ruonan Zhang, Lin Cai
DCC
2010
IEEE
15 years 5 months ago
Neural Markovian Predictive Compression: An Algorithm for Online Lossless Data Compression
This work proposes a novel practical and general-purpose lossless compression algorithm named Neural Markovian Predictive Compression (NMPC), based on a novel combination of Bayesi...
Erez Shermer, Mireille Avigal, Dana Shapira
CTW
2008
92views more  CTW 2008»
15 years 5 months ago
WESTT (workload, error, situational awareness, time and teamwork): an analytical prototyping system for command and control
Modern developments in the use of information technology within command and control allow unprecedented degrees of flexibility in the way teams deal with tasks. These developments...
Robert J. Houghton, Chris Baber, Malcolm Cowton, G...
PERCOM
2010
ACM
15 years 5 months ago
WebPlug: A framework for the Web of Things
Abstract—We present WebPlug, a framework for the emerging Web of Things. It consists of several building blocks which ease integration of things, including their sensors and actu...
Benedikt Ostermaier, Fabian Schlup, Kay Römer
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