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4GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection
Q. Nguyen, K. Lim, D. Divakaran, K. Low, and M. Chan. Proc. IEEE Conf. Communications and Network Security (CNS), page 91--99. (June 2019)
4 years ago by @annakrause
show all tags
models,
deep-learning
detection
Gradient-based
zero-day
explainable
methods,
learning,
Fingerprinting
machine
unsupervised
gradient
autoencoder,
techniques,
UGR
Records,
variational
Internet,
anomaly
statistical
dataset,
Detection,
GEE,
NetFlow
learning
network
recording,
technique,
detection,
analysis,
attack
VAE,
anomalous
Anomaly
fingerprinting
solutions,
traffic
gradient-based
models,deep-learningdetectionGradient-basedzero-dayexplainablemethods,learning,Fingerprintingmachineunsupervisedgradientautoencoder,techniques,UGRRecords,variationalInternet,anomalystatisticaldataset,Detection,GEE,NetFlowlearningnetworkrecording,technique,detection,analysis,attackVAE,anomalousAnomalyfingerprintingsolutions,trafficgradient-based
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1Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation
H. Maei, {. Szepesvári, S. Bhatnagar, D. Silver, D. Precup, and R. Sutton. NIPS, page 1204--1212. (2009)
5 years ago by @csaba
show all tags
approximation,
neural
theory,
nonlinear
learning,
networks,
prediction,
GTD
gradient
function
online
stochastic
algorithm,
reinforcement
approximation,neuraltheory,nonlinearlearning,networks,prediction,GTDgradientfunctiononlinestochasticalgorithm,reinforcement
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1Fast Gradient-Descent Methods for Temporal-Difference Learning with Linear Function Approximation
R. Sutton, H. Maei, D. Precup, S. Bhatnagar, D. Silver, {. Szepesvári, and E. Wiewiora. ICML, page 993--1000. (2009)
5 years ago by @csaba
show all tags
approximation,
TDC
learning,
prediction,
function
gradient
online
stochastic
theory,
algorithm,
reinforcement
GTD2,
approximation,TDClearning,prediction,functiongradientonlinestochastictheory,algorithm,reinforcementGTD2,
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1The shape of oxygen abundance profiles explored with MUSE: evidence for widespread deviations from single gradients
L. Sánchez-Menguiano, S. Sánchez, I. Pérez, T. Ruiz-Lara, L. Galbany, J. Anderson, T. Krühler, H. Kuncarayakti, and J. Lyman. (2017)cite arxiv:1710.01188Comment: 18 pages, 14 figures (+ appendices), Accepted for publication in Astronomy & Astrophysics.
7 years ago by @miki
show all tags
abundance
gradient
abundancegradient
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1A characteristic oxygen abundance gradient in galaxy disks unveiled with CALIFA
S. Sanchez, F. Rosales-Ortega, J. Iglesias-Paramo, M. Molla, J. Barrera-Ballesteros, R. Marino, E. Perez, P. Sanchez-Blazquez, R. Delgado, R. Fernandes and 28 other author(s). (2013)cite arxiv:1311.7052Comment: 25 Pages, 15 Figures, Accepted for publishing in A&A.
11 years ago by @miki
show all tags
oxygen
galaxy
abundance
gradient
oxygengalaxyabundancegradient
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1Spatial sensing of stimulus gradients can be superior to temporal sensing for free-swimming bacteria
D. Dusenbery. Biophys J, 74 (5): 2272-2277 (May 1998)
12 years ago by @quantentunnel
show all tags
gradient
chemotaxis
gradientchemotaxis
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4The general inefficiency of batch training for gradient descent learning.
D. Wilson, and T. Martinez. Neural Networks, 16 (10): 1429-1451 (2003)
12 years ago by @nosebrain
show all tags
inefficiency
descent
gradient
learning
training
batch
inefficiencydescentgradientlearningtrainingbatch
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1An Integral Field Study of Abundance Gradients in Nearby LIRGs
J. Rich, P. Torrey, L. Kewley, M. Dopita, and D. Rupke. (2012)cite arxiv:1204.5520Comment: Accepted for publication in ApJ. 26 pages, 18 figures.
13 years ago by @miki
show all tags
gradient
inflow
metallicity
gradientinflowmetallicity
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2Geometric moment invariance in character recognition using artificial neural networks (ANN)
H. Sanossian, and D. Evans. International Journal of Computer Mathematics, 54 (3 & 4): 143-155 (1994)
14 years ago by @cocus
show all tags
based
rates
ANN;
gradient
range
learning
backpropagation;
heuristic;
basedratesANN;gradientrangelearningbackpropagation;heuristic;
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2Geometric moment invariance in character recognition using artificial neural networks (ANN)
H. Sanossian, and D. Evans. 54 (3 & 4): 143-155 (1994)
14 years ago by @cocus
show all tags
based
rates
ANN;
gradient
range
learning
backpropagation;
heuristic;
basedratesANN;gradientrangelearningbackpropagation;heuristic;
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1Reconstitution of a physical complex between the N-formyl chemotactic peptide receptor and G protein. Inhibition by pertussis toxin-catalyzed ADP ribosylation
R. Bommakanti, G. Bokoch, J. Tolley, R. Schreiber, D. Siemsen, K. Klotz, and A. Jesaitis. J Biol Chem, 267 (11): 7576-81 (April 1992)Bommakanti, R K Bokoch, G M Tolley, J O Schreiber, R E Siemsen, D W Klotz, K N Jesaitis, A J R01-AI22735/AI/NIAID NIH HHS/United States R01-GM39434/GM/NIGMS NIH HHS/United States Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, P.H.S. United states The Journal of biological chemistry J Biol Chem. 1992 Apr 15;267(11):7576-81..
14 years ago by @pharmawuerz
show all tags
Electrophoresis,
&
Gel
Autoradiography
Toxin
Animals
Formyl
Receptor
inhibitors/chemistry/*metabolism
Centrifugation,
Immunologic/antagonists
Brain/metabolism
Adenosine
Gradient
Density
Humans
Guanosine
Polyacrylamide
Virulence
5'-O-(3-Thiotriphosphate)/metabolism
Diphosphate
Proteins/metabolism
Bordetella/pharmacology
Ribose/*metabolism
Factors,
GTP-Binding
Catalysis
Peptide
Pertussis
Electrophoresis,&GelAutoradiographyToxinAnimalsFormylReceptorinhibitors/chemistry/*metabolismCentrifugation,Immunologic/antagonistsBrain/metabolismAdenosineGradientDensityHumansGuanosinePolyacrylamideVirulence5'-O-(3-Thiotriphosphate)/metabolismDiphosphateProteins/metabolismBordetella/pharmacologyRibose/*metabolismFactors,GTP-BindingCatalysisPeptidePertussis
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4Gradient descent methods in learning classifier systems: Improving XCS performance in multistep problems
M. Butz, D. Goldberg, and P. Lanzi. IEEE Transactions on Evolutionary Computation, (2005)
15 years ago by @butz
show all tags
MVButz
Q-learning
approximation
XCS
learning
descent
systems
gradient
problems
classifier
multistep
(LCSs)
reinforcement
Function
MVButzJ
MVButzQ-learningapproximationXCSlearningdescentsystemsgradientproblemsclassifiermultistep(LCSs)reinforcementFunctionMVButzJ
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1Permeability of granite in a temperature gradient
C. Morrow, D. Lockner, D. Moore, and J. Byerlee. Journal of Geophysical Research, (April 1981)
15 years ago by @schepers
show all tags
granite
1981
gradient
temperature
granite1981gradienttemperature
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1Chemical reactions accompanying fluid flow through granite held in a temperature gradient
D. Moore, C. Morrow, and J. Byerlee. Geochimica et Cosmochimica Acta, (March 1983)
15 years ago by @schepers
show all tags
experiments
1983
granite
gradient
temperature
experiments1983granitegradienttemperature
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2Conservation biological control and enemy diversity on a landscape scale
T. Tscharntke, R. Bommarco, Y. Clough, T. Crist, D. Kleijn, T. Rand, J. Tylianakis, S. van Nouhuys, and S. Vidal. Biological Control, 43 (3): 294--309 (December 2007)
17 years ago by @karinnadrowski
show all tags
biological_control
agri-environmental_schemes
biodiversity
habitat
traits
host-plant
life-history
plant-insect_interactions
tropics
gradient
pathogen
bioenergy_fauna
arbuscular_mycorrhizal_fungi
biological_controlagri-environmental_schemesbiodiversityhabitattraitshost-plantlife-historyplant-insect_interactionstropicsgradientpathogenbioenergy_faunaarbuscular_mycorrhizal_fungi
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2Conservation biological control and enemy diversity on a landscape scale
T. Tscharntke, R. Bommarco, Y. Clough, T. Crist, D. Kleijn, T. Rand, J. Tylianakis, S. van Nouhuys, and S. Vidal. Biological Control, 43 (3): 294--309 (December 2007)
17 years ago by @bioenergyworkshop
show all tags
biological_control
agri-environmental_schemes
biodiversity
habitat
traits
host-plant
life-history
plant-insect_interactions
tropics
gradient
pathogen
Nadrowski_K
arbuscular_mycorrhizal_fungi
biological_controlagri-environmental_schemesbiodiversityhabitattraitshost-plantlife-historyplant-insect_interactionstropicsgradientpathogenNadrowski_Karbuscular_mycorrhizal_fungi
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1Gradient critical phenomena
D. Karevski, L. Turban, and T. Platini. Abstract Book of the XXIII IUPAP International Conference on Statistical Physics, Genova, Italy, (9-13 July 2007)
18 years ago by @statphys23
show all tags
statphys23
phase
critical
perturbation
gradient
quantum
topic-2
phenomena
transition
statphys23phasecriticalperturbationgradientquantumtopic-2phenomenatransition
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4On the limited memory BFGS method for large scale optimization
D. LIU, and J. NOCEDAL. Math. Programming, 45 (3, (Ser. B)): 503--528 (1989)
18 years ago by @thomas
show all tags
BFGS
memory
optimization
large
limited
gradient
L-BFGS
scale
used
diplomarbeit
uni
conjugate
BFGSmemoryoptimizationlargelimitedgradientL-BFGSscaleuseddiplomarbeituniconjugate
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1Analytical second derivatives for effective core potential. application to transition structures of cp(2)ru(2)(mu-h)(4) and to the mechanism of reaction cu+ch(2)n(2)
Q. Cui, D. Musaev, M. Svensson, and K. Morokuma. J. Phys. Chem., 100 (26): 10936--10944 (1996)
19 years ago by @hlwoodcock
show all tags
mo
approximation
density-functional
molecular
atoms
thermochemistry
basis-sets
cuch2
abinitio
gradient
copper
calculations
integrals
bibtex-import
exchange
methylene
moapproximationdensity-functionalmolecularatomsthermochemistrybasis-setscuch2abinitiogradientcoppercalculationsintegralsbibtex-importexchangemethylene
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publications (hide)19 displayallpublications onlypublications per page5102050100 sort byadded attitleauthorpublication dateentry typehelp for advanced sorting... RSSBibTeXRDFmore...

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publications (hide)19
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