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1Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures
J. Uesato, A. Kumar, {. Szepesvári, T. Erez, A. Ruderman, K. Anderson, K. Dvijotham, N. Heess, и P. Kohli. ICLR, стр. 3692--3702. (июня 2019)
5 лет назад , @csaba
learning,
failure
prediction,
adversarial
evaluation
probability
reinforcement
Carlo
continuation
methods,
Monte
method,
learning,failureprediction,adversarialevaluationprobabilityreinforcementCarlocontinuationmethods,Montemethod,
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1Prediction of Protein Domain-Types by Backpropagation
J. Murvai, {. Szepesvári, C. Bachrati, и S. Pongor. TR-98-117. ``Attila József'' University, Research Group on Artificial Intelligence, Szeged, HU-6700, (1997)
5 лет назад , @csaba
domain
networks,
neural
prediction,
bioinformatics,
application
domainnetworks,neuralprediction,bioinformatics,application
копироватьудалитьдобавить публикацию в буфер
1Prediction of Protein Functional Domains from Sequences Using Artificial Neural Networks
J. Murvai, K. Vlahovicek, {. Szepesvári, и S. Pongor. Genome Research, 11 (8): 1410--1417 (2001)
5 лет назад , @csaba
domain
networks,
neural
prediction,
bioinformatics,
application
domainnetworks,neuralprediction,bioinformatics,application
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1Predictive ecology: systems approaches
M. Evans, K. Norris, и T. Benton. Philosophical Transactions of the Royal Society B: Biological Sciences, 367 (1586): 163--169 (января 2012)
8 лет назад , @yourwelcome
change,
biology
systems
evolution,
circulation
modelling,
prediction,
model,
climate
global
ecological
change,biologysystemsevolution,circulationmodelling,prediction,model,climateglobalecological
копироватьудалитьдобавить публикацию в буфер
1Survey of Stochastic Models for Wind and Sea State Time Series
J. Monbet, P. Ailliot, и M. Prevosto. Probabilistic Engineering Mechanics, (2007)
13 лет назад , @procomun
Model,
linear
Reconstruction,
state,
Simulation,
series,
time
Non
Wind
Prediction,
Sea
Model,linearReconstruction,state,Simulation,series,timeNonWindPrediction,Sea
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1The Accuracy of Solar Irradiance Calculations Used in Mesoscale Numerical Weather Prediction.
R. Zamora, E. Dutton, M. Trainer, S. McKeen, J. Wilczak, и H. Yu-Tai. Monthly Weather Review, 133 (4): 783 - 792 (2005)
13 лет назад , @procomun
sciences
EARTH
forecasting,
WEATHER
ENVIRONMENTAL
prediction,
NUMERICAL
WEATHER,
sciences,
GEOPHYSICAL
METEOROLOGY,
weather
sciencesEARTHforecasting,WEATHERENVIRONMENTALprediction,NUMERICALWEATHER,sciences,GEOPHYSICALMETEOROLOGY,weather
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1Developments in vapour cloud explosion blast modeling
W. Mercx, A. van den Berg, C. Hayhurst, N. Robertson, и K. Moran. Journal of Hazardous Materials, 71 (1-3): 301--319 (января 2000)
15 лет назад , @sjp
Explosion
Blast
simulation,
Vapour
Source
cloud
explosion,
prediction,
analysis,
prediction
Quantitative
risk
term
ExplosionBlastsimulation,VapourSourcecloudexplosion,prediction,analysis,predictionQuantitativeriskterm
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1Important aspects of behaviour of organic energetic compounds: a review
A. Sikder, G. Maddala, J. Agrawal, и H. Singh. Journal of Hazardous Materials, 84 (1): 1--26 (июня 2001)
15 лет назад , @sjp
Impact
energetic
Organic
balance,
mechanics
Velocity
formation,
Heat
Prediction,
Quantum
Performance,
detonation,
sensitivity,
of
compounds,
Oxygen
ImpactenergeticOrganicbalance,mechanicsVelocityformation,HeatPrediction,QuantumPerformance,detonation,sensitivity,ofcompounds,Oxygen
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1Application of Thermochemical Energy Hazard Criteria to the Prediction of Lower Flammability Limits of Hydrocarbons in Air
D. Dalmazzone, J. Laforest, и J. Petit. Oil & Gas Science and Technology - Revue de l'IFP, 56 (4): 365--372 (2001)
15 лет назад , @sjp
flammability
CHETAH.
limit,
prediction,
hydrocarbons,
flammabilityCHETAH.limit,prediction,hydrocarbons,
копироватьудалитьдобавить публикацию в буфер
1A method to identify protein sequences that fold into a known three-dimensional structure.
J. Bowie, R. Lüthy, и D. Eisenberg. Science, 253 (5016): 164--170 (июля 1991)
16 лет назад , @earthfare
design,
profiles,
prediction,
post-defense,
structure
design,profiles,prediction,post-defense,structure
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1An RNA folding method capable of identifying pseudoknots and base triples
J. Tabaska, R. Cary, H. Gabow, и G. Stormo. Bioinformatics, 14 (8): 691--699 (сентября 1998)
16 лет назад , @earthfare
pseudoknot,
rna,
prediction,
rna-secondary-structure
pseudoknot,rna,prediction,rna-secondary-structure
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1HotKnots: heuristic prediction of RNA secondary structures including pseudoknots
J. Ren, B. Rastegari, A. Condon, и H. Hoos. RNA, 11 (10): 1494--1504 (октября 2005)
16 лет назад , @earthfare
pseudoknot,
rna
prediction,
heuristic-algorithm,
pseudoknot,rnaprediction,heuristic-algorithm,
копироватьудалитьдобавить публикацию в буфер
1Folding 3-noncrossing RNA pseudoknot structures
F. Huang, W. Peng, и C. Reidys. (сентября 2008)
16 лет назад , @earthfare
pseudoknot,
rna
prediction,
dynamic-programming,
algorithm,
pseudoknot,rnaprediction,dynamic-programming,algorithm,
копироватьудалитьдобавить публикацию в буфер
1Tertiary templates for proteins *1Use of packing criteria in the enumeration of allowed sequences for different structural classes
J. Ponder, и F. Richards. Journal of Molecular Biology, 193 (4): 775--791 (февраля 1987)
16 лет назад , @earthfare
structure,
historical,
threading
need-pdf,
prediction,
post-defense,
structure,historical,threadingneed-pdf,prediction,post-defense,
копироватьудалитьдобавить публикацию в буфер
1Design, implementation and evaluation of a practical pseudoknot folding algorithm based on thermodynamics
J. Reeder, и R. Giegerich. BMC Bioinformatics, (августа 2004)
16 лет назад , @earthfare
rna,
prediction,
thermodynamics
rna-secondary-structure,
rna,prediction,thermodynamicsrna-secondary-structure,
копироватьудалитьдобавить публикацию в буфер
1Analysis and Prediction of Acoustic Speech Features from Mel-frequency Cepstral Coefficients in Distributed Speech Recognition Architectures
J. Darch, B. Milner, и S. Vaseghi. Journal of the Acoustical Society of America, 124 (6): 3989--4000 (декабря 2008)DOI: 10.1121/1.2997436.
16 лет назад , @jdarch
frequency,
prediction,
fundamental
analysis,
formants,
MFCC,
frequency,prediction,fundamentalanalysis,formants,MFCC,
копироватьудалитьдобавить публикацию в буфер
1Genetic programming outperformed multivariable logistic regression in diagnosing pulmonary embolism
C. Biesheuvel, I. Siccama, D. Grobbee, и K. Moons. Journal of Clinical Epidemiology, 57 (6): 551--560 (июня 2004)
17 лет назад , @brazovayeye
Discrimination,
genetic
regression,
research,
Logistic
algorithms,
programming,
Diagnostic
Reliability
Prediction,
Discrimination,geneticregression,research,Logisticalgorithms,programming,DiagnosticReliabilityPrediction,
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1Prediction of metal wire behavior using genetic programming
M. Nastran, и J. Balic. Journal of Materials Processing Technology, 122 (2-3): 368--373 (28 March 2002)
17 лет назад , @brazovayeye
Control,
genetic
algorithms,
Accuracy
Manufacture,
programming,
Prediction,
Control,geneticalgorithms,AccuracyManufacture,programming,Prediction,
копироватьудалитьдобавить публикацию в буфер
1Forecasting front displacements with a satellite based ocean forecasting (SOFT) system
A. Alvarez, A. Orfila, G. Basterretxea, J. Tintore, G. Vizoso, и A. Fornes. Journal of Marine Systems, 65 (1-4): 299--313 (марта 2007)Marine Environmental Monitoring and Prediction - Selected papers from the 36th International Liege Colloquium on Ocean Dynamics.
17 лет назад , @brazovayeye
genetic
algorithms,
prediction,
programming,
Front
Satellite
Ocean
evolution
data,
geneticalgorithms,prediction,programming,FrontSatelliteOceanevolutiondata,
копироватьудалитьдобавить публикацию в буфер
3Prediction with Expert Advice by Following the Perturbed Leader for General Weights
M. Hutter, и J. Poland. Proc. 15th International Conf. on Algorithmic Learning Theory (ALT'04), том 3244 из LNAI, стр. 279--293. Padova, Springer, Berlin, (2004)
17 лет назад , @idsia
advice,
high,
experts,
bounds,
adaptive,
hierarchy,
general,
the,
with
learning,
of,
expert,
expected,
alphabet,
sequential,
rate,
leader,
probability,
perturbed,
loss,
follow,
online,
juergen,
prediction,
and,
weights,
advice,high,experts,bounds,adaptive,hierarchy,general,the,withlearning,of,expert,expected,alphabet,sequential,rate,leader,probability,perturbed,loss,follow,online,juergen,prediction,and,weights,
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публикации (спрятать)44
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1Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures

1Prediction of Protein Domain-Types by Backpropagation

1Prediction of Protein Functional Domains from Sequences Using Artificial Neural Networks

1Predictive ecology: systems approaches

1Survey of Stochastic Models for Wind and Sea State Time Series

1The Accuracy of Solar Irradiance Calculations Used in Mesoscale Numerical Weather Prediction.

1Developments in vapour cloud explosion blast modeling

1Important aspects of behaviour of organic energetic compounds: a review

1Application of Thermochemical Energy Hazard Criteria to the Prediction of Lower Flammability Limits of Hydrocarbons in Air

1A method to identify protein sequences that fold into a known three-dimensional structure.

1An RNA folding method capable of identifying pseudoknots and base triples

1HotKnots: heuristic prediction of RNA secondary structures including pseudoknots

1Folding 3-noncrossing RNA pseudoknot structures

1Tertiary templates for proteins *1Use of packing criteria in the enumeration of allowed sequences for different structural classes

1Design, implementation and evaluation of a practical pseudoknot folding algorithm based on thermodynamics

1Analysis and Prediction of Acoustic Speech Features from Mel-frequency Cepstral Coefficients in Distributed Speech Recognition Architectures

1Genetic programming outperformed multivariable logistic regression in diagnosing pulmonary embolism

1Prediction of metal wire behavior using genetic programming

1Forecasting front displacements with a satellite based ocean forecasting (SOFT) system

3Prediction with Expert Advice by Following the Perturbed Leader for General Weights

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