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AVT Statistical filtering algorithm
Known as:
AVT
, Statistical Filtering or AVT algorithm
, Statistical filtering
AVT Statistical filtering algorithm is an approach to improving quality of raw data collected from various sources. It is most effective in cases…
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2013
2013
Inference and Reconciliation in a Crowdsourced Lexical-Semantic Network
Manel Zarrouk
,
Mathieu Lafourcade
,
Alain Joubert
Conference on Intelligent Text Processing and…
2013
Corpus ID: 8071824
Lexical-semantic network construction and validation is a major issue in NLP. No matter the construction strategies used…
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2009
2009
Reliable ranging technique based on statistical RSSI analyses for an ad-hoc proximity detection system
Keiichi Nakamura
,
Masato Kamio
,
Tetsushi Watanabe
,
Shinsuke Kobayashi
,
N. Koshizuka
,
K. Sakamura
Annual IEEE International Conference on Pervasive…
2009
Corpus ID: 14772962
We propose a proximity detection system that supports pedestrian traffic. Active radio tags are utilized for building the system…
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2006
2006
Output feedback Parametric Controllers for an Active Valve Train Actuation System
Vassileios D. Kosmidis
,
A. Panga
,
+4 authors
E. Pistikopoulos
Proceedings of the 45th IEEE Conference on…
2006
Corpus ID: 41674920
The first commercial camless car engines featuring continuously variable valve timing are expected to be available by 2010 to…
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Review
2005
Review
2005
Framework for statistical filtering against DDoS attacks in MANETs
H. Tan
,
W. Seah
International Conference on Embedded Software and…
2005
Corpus ID: 16524240
A DDoS (distributed denial-of-service) attack is a distributed, large-scale attempt by malicious users to flood the victim…
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2005
2005
Supporting Network Coordinates on PlanetLab
P. Pietzuch
,
J. Ledlie
,
M. Seltzer
WORLDS
2005
Corpus ID: 1702298
Large-scale distributed applications need latency information to make network-aware routing decisions. Collecting these…
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2004
2004
Ontology Express : Statistical and Non-Monotonic Learning of Domain Ontologies from Text
N. Ogata
,
Nigel Collier
2004
Corpus ID: 18101887
Text mining has an important role to play in aiding experts to construct domain specific ontologies by highlighting the important…
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2003
2003
Natural Language Understanding Using Generative Dependency Grammar
S. Diaconescu
2003
Corpus ID: 118904120
This document presents a new kind of grammars: the Generative Dependency Grammar (GDG) and GDG with Feature Structure (FS…
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Highly Cited
2000
Highly Cited
2000
Statistical Filtering and Subcategorization Frame Acquisition
A. Korhonen
,
G. Gorrell
,
Diana McCarthy
Conference on Empirical Methods in Natural…
2000
Corpus ID: 13579675
Research into the automatic acquisition of subcategorization frames (SCFs) from corpora is starting to produce large-scale…
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1993
1993
Statistical filtering of the single ion channel records
V. Pastushenko
,
H. Schindler
1993
Corpus ID: 99615263
Highly Cited
1983
Highly Cited
1983
Mammalian and avian antidiuretic hormone: Studies related to possible species variation in osmoregulatory systems
D. Gray
,
Eckhart Simon
Journal of Comparative Physiology
1983
Corpus ID: 24588327
Summary1.In two representative species of the mammalian and avian classes, the dog and Pekin duck, antidiuretic hormone (ADH…
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