tag :: lcs | BibSonomy

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1HistCite Glossary
GCS - Global Citation Score shows the Citation Frequency based on the total count in the Web of Science. LCR - Local Cited References shows the count of cited papers within the collection. LCS - Local Citation Score shows the Citation Frequency within the
17 years ago by @avivagabriel
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-
=|=
Any
AuthorsLCS/t
Bibliometric
Citation
Cited
Frequency
GCS
Global
LCS
Local
Number
Ratio
References
Science.LCR
Score
Web
[score]
all
an
and
arbitrary
as
author,
available
average
aviva
based
beggining
beginning
bibliography.Pubs
category,
collection
collection.LCS
collection.NCR
count
cutoff
date.GCS/t
date.LCSb
end
following
for
found.T*
from
given
in
including
is
item
item's
last
nodes.NA
on
only
or
other
over
paper's
papers
per
period
publications
publicationss
records.
represents
respected
scores
shows
since
source,
span
span.
sum
the
time
to
total
touched
until
view.Percent
where
within
year
year.LCSe
-=|=AnyAuthorsLCS/tBibliometricCitationCitedFrequencyGCSGlobalLCSLocalNumberRatioReferencesScience.LCRScoreWeb[score]allanandarbitraryasauthor,availableaverageavivabasedbegginingbeginningbibliography.Pubscategory,collectioncollection.LCScollection.NCRcountcutoffdate.GCS/tdate.LCSbendfollowingforfound.T*fromgiveninincludingisitemitem'slastnodes.NAononlyorotheroverpaper'spapersperperiodpublicationspublicationssrecords.representsrespectedscoresshowssincesource,spanspan.sumthetimetototaltoucheduntilview.Percentwherewithinyearyear.LCSe
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1Design and Implementation of Fault Tolerance Network in Launch Control System
I. Jung, J. Ahn, K. Moon, J. Lee, and B. Kim. International Journal of Innovative Science and Modern Engineering (IJISME), 4 (4): 6-14 (April 2016)
3 years ago by @ijisme_beiesp
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(LC)
Complex
Fault
Industrial
LCS
Launch
SCADA
network
tolerance
(LC)ComplexFaultIndustrialLCSLaunchSCADAnetworktolerance
(1)
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4Clever algorithms : nature-inspired programming recipes
J. Brownlee. Lulu, Place of publication not identified, (2011)
8 years ago by @mhwombat
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classification
clustering
data_mining
lcs
classificationclusteringdata_mininglcs
(0)
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2Evolutionary Data Mining Approaches for Rule-based and Tree-based Classifiers
T. Weise, and R. Chiong. Proceedings of the 9th IEEE International Conference on Cognitive Informatics (ICCI'10), page 696--703. IEEE Computer Society Press: Los Alamitos, CA, USA, (2010)
13 years ago by @thomasweise
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Classification
Data_Mining
Decision_Trees
GAs
Genetic_Algorithms
Heart_Disease_Dataset
Hepatitis_Dataset
Iris_Dataset
LCS
Learning_Classifier_Systems
Rule-based_Classification
SGP
Standard_Genetic_Programming
Weka
Wine_Dataset
Wisconsin_Breast_Cancer_Dataset
ClassificationData_MiningDecision_TreesGAsGenetic_AlgorithmsHeart_Disease_DatasetHepatitis_DatasetIris_DatasetLCSLearning_Classifier_SystemsRule-based_ClassificationSGPStandard_Genetic_ProgrammingWekaWine_DatasetWisconsin_Breast_Cancer_Dataset
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21Binary codes capable of correcting deletions, insertions and reversals.
V. Levenshtein. Soviet Physics Doklady, 10 (8): 707--710 (February 1966)Doklady Akademii Nauk SSSR, V163 No4 845-848 1965.
14 years ago by @cbrewster
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edit-distance
c1966
DPA
Sellers
strings
c19xx
jrnl
comparison
LCSS
deletion
errorcorrectingcode
sequence
metric
string
indel
similarity
editdistance
delete
codes
c196x
string-to-string
insert
dynamicprogrammingalgorithm
LCS
edit-distancec1966DPASellersstringsc19xxjrnlcomparisonLCSSdeletionerrorcorrectingcodesequencemetricstringindelsimilarityeditdistancedeletecodesc196xstring-to-stringinsertdynamicprogrammingalgorithmLCS
(1)
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4Problem solution sustenance in XCS: Markov chain analysis of niche support distributions and the impact on computational complexity
M. Butz, D. Goldberg, P. Lanzi, and K. Sastry. Genetic Programming and Evolvable Machines, (2007)
15 years ago by @butz
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LCS
Learning
MVButz
MVButzJ
Markov
Mutation
Niching
Solution
XCS
analysis
chain
classifier
sustenance
systems
LCSLearningMVButzMVButzJMarkovMutationNichingSolutionXCSanalysischainclassifiersustenancesystems
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3Get real! XCS with continuous-valued inputs
S. Wilson. Festschrift in honor of John H. Holland, Center for the Study of Complex Systems, http://prediction-dynamics.com/.(1999)
15 years ago by @butz
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LCS
LCS
(0)
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2Extending the Representation of Classifier Conditions Part I: From Binary to Messy Coding
P. Lanzi. Genetic and Evolutionary Computation Conference, GECCO 1999, (1999)
15 years ago by @butz
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LCS
LCS
(0)
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2Evolving Optimal Populations with XCS Classifier Systems
T. Kovacs. School of Computer Science, University of Birmingham, Birmingham, U.K., (1996)
15 years ago by @butz
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LCS
LCS
(0)
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4Problem solution sustenance in XCS: Markov chain analysis of niche support distributions and the impact on computational complexity
M. Butz, D. Goldberg, P. Lanzi, and K. Sastry. Genetic Programming and Evolvable Machines, (2007)
15 years ago by @butz
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-
LCS
Learning
Markov
Mutation
Niching
Solution
XCS
analysis
chain
classifier
sustenance
systems
-LCSLearningMarkovMutationNichingSolutionXCSanalysischainclassifiersustenancesystems
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2The Stability of Long Action Chains in XCS
A. Barry. Journal of Soft Computing, 6 (3--4): 183--199 (2002)
15 years ago by @butz
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LCS
LCS
(0)
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2Machine translation divergences: A formal description and proposed solution
B. Dorr. Computational Linguistics, 20 (4): 597--633 (1994)
15 years ago by @unhammer
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LCS
LFG
MT
Master
alignment
divergences
haveread
semantics
translation
LCSLFGMTMasteralignmentdivergenceshavereadsemanticstranslation
(0)
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1`Prototypes Save'
A. Wierzbicka. Fuzzy Grammar: A Reader, Oxford University Press, New York, (2004)
16 years ago by @unhammer
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LCS
LING305
haveread
prototypes
semantics
LCSLING305havereadprototypessemantics
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1Late breaking papers at Genetic and Evolutionary Computation Conference (GECCO'2006)
J. Grahl (Eds.) Seattle, WA, USA, (8-12 July 2006)
16 years ago by @brazovayeye
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Algorithms,
Genetic
LCS
MOO,
NN,
PSO,
Programming,
Algorithms,GeneticLCSMOO,NN,PSO,Programming,
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2Computing the Least Common Subsumer in the Description Logic EL w.r.t. Terminological Cycles with Descriptive Semantics.
F. Baader. Proceedings of the 11th International Conference on Conceptual Structures (ICCS 2003), volume 2746 of Lecture Notes in Computer Science, page 117-130. Springer, (2003)
17 years ago by @iccs
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2003
description
dl
iccs
lcs
logic
2003descriptiondliccslcslogic
(0)
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5Learning Concept Classification Rules using Genetic Algorithms
K. Jong, and W. Spears. Proceedings of the Twelfth International Conference on Artificial Intelligence (IJCAI-91), 2, page 651-657. (1991)
17 years ago by @bernauer
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LCS
XCS
LCSXCS
(0)
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1Advances in Learning Classifer Systems
P. Lanzi, W. Stolzmann, and S. Wilson (Eds.) Lecture Notes in Artificial Intelligence Springer-Verlag, Berlin, (2001)
17 years ago by @bernauer
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LCS
LCS
(0)
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2Strength or Accuracy? Fitness Calculation in Learning Classifier Systems.
T. Kovacs. Learning Classifier Systems, volume 1813 of Lecture Notes in Computer Science, page 143-160. (1999)
17 years ago by @bernauer
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LCS
XCS
LCSXCS
(0)
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5Hyper-ellipsoidal conditions in XCS: rotation, linear approximation, and solution structure.
M. Butz, P. Lanzi, and S. Wilson. GECCO, page 1457-1464. (2006)
17 years ago by @bernauer
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LCS
XCS
LCSXCS
(0)
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4Learning Classifier Systems: From Foundations to Applications
P. Lanzi, W. Stolzmann, and S. Wilson (Eds.) Lecture Notes in Artificial Intelligence Springer-Verlag, Berlin, (2000)
17 years ago by @bernauer
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LCS
LCS
(0)
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1The Fighter Aircraft LCS: A Case of Different LCS Goals and Techniques
R. Smith, B. Dike, B. Ravichandran, A. El-Fallah, and R. Mehra. page 283--300. (2000)
17 years ago by @bernauer
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LCS
XCS
LCSXCS
(0)
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BibSonomy

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1HistCite Glossary

publications (hide)34
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1Design and Implementation of Fault Tolerance Network in Launch Control System

4Clever algorithms : nature-inspired programming recipes

2Evolutionary Data Mining Approaches for Rule-based and Tree-based Classifiers

21Binary codes capable of correcting deletions, insertions and reversals.

4Problem solution sustenance in XCS: Markov chain analysis of niche support distributions and the impact on computational complexity

3Get real! XCS with continuous-valued inputs

2Extending the Representation of Classifier Conditions Part I: From Binary to Messy Coding

2Evolving Optimal Populations with XCS Classifier Systems

4Problem solution sustenance in XCS: Markov chain analysis of niche support distributions and the impact on computational complexity

2The Stability of Long Action Chains in XCS

2Machine translation divergences: A formal description and proposed solution

1`Prototypes Save'

1Late breaking papers at Genetic and Evolutionary Computation Conference (GECCO'2006)

2Computing the Least Common Subsumer in the Description Logic EL w.r.t. Terminological Cycles with Descriptive Semantics.

5Learning Concept Classification Rules using Genetic Algorithms

1Advances in Learning Classifer Systems

2Strength or Accuracy? Fitness Calculation in Learning Classifier Systems.

5Hyper-ellipsoidal conditions in XCS: rotation, linear approximation, and solution structure.

4Learning Classifier Systems: From Foundations to Applications

1The Fighter Aircraft LCS: A Case of Different LCS Goals and Techniques

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