tag :: Carlo | BibSonomy

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1Don Carlos / Don Carlo – Opera Guide
Libretto (Voller Text) von Don Carlo von Giuseppe Verdi.
a year ago by @esistimfluss
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2023
Carlo
Don
Libretto
Oper
2023CarloDonLibrettoOper
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1DON_CARLO.pdf
http://www.jkaufmann.info/texte/DON_CARLO.pdf
a year ago by @esistimfluss
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2023
Carlo
Don
Libretto
Oper
Pfalztheater
2023CarloDonLibrettoOperPfalztheater
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1The Markov-chain Monte Carlo Interactive Gallery
Nice visualizations of different sampling algorithms.
8 years ago by @becker
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mcmc
visualization
monte
carlo
simulation
random
walk
metropolis
hastings
mcmcvisualizationmontecarlosimulationrandomwalkmetropolishastings
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1PyMC | Free Science & Engineering software downloads at SourceForge.net
http://sourceforge.net/projects/pymc/
8 years ago by @bshanks
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python
mcmc
monte
carlo
montecarlo
lib
pythonmcmcmontecarlomontecarlolib
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1Markov chain Montw Carlo in action: a tutorial
http://www.stat.fi/isi99/proceedings/arkisto/varasto/gree0167.pdf
10 years ago by @becker
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carlo
chain
markov
mcmc
monte
tutorial
carlochainmarkovmcmcmontetutorial
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1"(Re) Carlo (non) torna dalla battaglia di Poitiers" di Giulio Cavalli - Google Video
Giullarate musicale su Genova, 500 anni dopo, senza lieto fine
18 years ago by @pietrosperoni
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italia
Genova
carlo
video
g8
grammelot
italiaGenovacarlovideog8grammelot
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1Forecasting with Bayesian Vector Autoregression
S. Karlsson. 2, chapter 15, page 791--897. Elsevier, (2013)
3 months ago by @gdmcbain
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Carlo
Cointegration
Conditional
Large
Markov
Model
Monte
Stochastic
Structural
Time-varying
VAR
chain
forecasts
parameters
selection
volatility
CarloCointegrationConditionalLargeMarkovModelMonteStochasticStructuralTime-varyingVARchainforecastsparametersselectionvolatility
(0)
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1Monte Carlo Graph Search for Quantum Circuit Optimization (Accepted)
B. Rosenhahn, and T. Osborne. Physical Review A, (December 2023)
a year ago by @tntl3s
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carlo
leibnizailab
monte
myown
carloleibnizailabmontemyown
(0)
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1Elastic Monte Carlo Tree Search
L. Xu, A. Dockhorn, and D. Perez-Liebana. IEEE Transactions on Games, (2023)(to be printed).
2 years ago by @tntl3s
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Carlo
Monte
leibnizailab
myown
CarloMonteleibnizailabmyown
(0)
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1Elastic Monte Carlo Tree Search State Abstraction for Strategy Game Playing
L. Xu, J. Hurtado-Grueso, D. Jeurissen, D. Liebana, and A. Dockhorn. 2022 IEEE Conference on Games (CoG), (2022)
2 years ago by @tntl3s
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Carlo
Elastic
Monte
Tree
leibnizailab
myown
CarloElasticMonteTreeleibnizailabmyown
(0)
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1Game State and Action Abstracting Monte Carlo Tree Search for General Strategy Game-Playing
A. Dockhorn, J. Hurtado-Grueso, D. Jeurissen, L. Xu, and D. Perez-Liebana. Proceedings of the 2021 IEEE Conference on Games (CoG), page 1--8. (August 2021)
2 years ago by @tntl3s
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Abstracting
Action
Carlo
Game
Monte
State
and
leibnizailab
myown
AbstractingActionCarloGameMonteStateandleibnizailabmyown
(0)
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2A decision heuristic for Monte Carlo tree search doppelkopf agents
A. Dockhorn, C. Doell, M. Hewelt, and R. Kruse. 2017 IEEE Symposium Series on Computational Intelligence (SSCI), page 1--8. (November 2017)
2 years ago by @tntl3s
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A
Carlo
Monte
decision
for
heuristic
leibnizailab
myown
ACarloMontedecisionforheuristicleibnizailabmyown
(0)
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1Costs of Agronomic Practices: Profitability at Different Scales of Sugarcane Production in Brazil
M. Ospina Patino, F. Rodrigues de Amorim, A. Galvez de Andrade, M. Alam, and F. Del Giorgio Solfa. International Journal of Business Administration, 13 (5): 32-43 (September 2022)
2 years ago by @delgiorgiosolfa
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carlo
cost
mechanization
monte
production
rate
simulation
sugarcane
variable
carlocostmechanizationmonteproductionratesimulationsugarcanevariable
(0)
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2Damage spreading in the Potts model with cluster dynamics
E. Luz, M. Almeida, U. Costa, and M. Lyra. PHYSICA A, 282 (1-2): 176-182 (2000)
3 years ago by @ppgfis_ufc_br
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Carlo
Monte
classical
critical
dynamics;
methods}
models;
{spin
CarloMonteclassicalcriticaldynamics;methods}models;{spin
(0)
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2Critical behavior of the 3D Ising model on a poissonian random lattice
F. Lima, U. Costa, and R. Filho. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 387 (7): 1545-1550 (2008)
3 years ago by @ppgfis_ufc_br
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Carlo
Ising
Monte
critical
exponents}
lattices;
methods;
model;
random
{ferromagnetic
CarloIsingMontecriticalexponents}lattices;methods;model;random{ferromagnetic
(0)
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1Potts model with q=3 and 4 states on directed small-world network
P. da Silva, F. Lima, and R. Filho. COMPUTER PHYSICS COMMUNICATIONS, 184 (12): 2746-2750 (2013)
3 years ago by @ppgfis_ufc_br
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Carlo
Ising
Networks;
Potts
Spins;
model;
model}
simulation;
{Monte
CarloIsingNetworks;PottsSpins;model;model}simulation;{Monte
(0)
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1Potts Model in One-Dimension on Directed Small-World Networks
E. Aquino, F. Lima, A. Araujo, and R. Filho. JOURNAL OF STATISTICAL PHYSICS, 171 (6): 1112-1121 (2018)
3 years ago by @ppgfis_ufc_br
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Carlo
Monte
Phase
Small-world
model;
networks;
simulation}
transition;
{Potts
CarloMontePhaseSmall-worldmodel;networks;simulation}transition;{Potts
(0)
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1Noise induced phase transition in the S-state block voter model
J. de Araujo, C. Filho, and F. Moreira. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, (2018)
3 years ago by @ppgfis_ufc_br
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Carlo
Monte
Nonequilibrium
phase
simulations}
transition;
{Scaling;
CarloMonteNonequilibriumphasesimulations}transition;{Scaling;
(0)
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1Adaptive Monte Carlo via Bandit Allocation (extended version)
J. Neufeld, A. György, D. Schuurmans, and {. Szepesvári. ICML, page 1944--1952. (May 2014)
5 years ago by @csaba
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Carlo
Monte
bandits
bandits,
learning,
methods,
online
stochastic
CarloMontebanditsbandits,learning,methods,onlinestochastic
(0)
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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, and P. Kohli. ICLR, page 3692--3702. (June 2019)
5 years ago by @csaba
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Carlo
Monte
adversarial
continuation
evaluation
failure
learning,
method,
methods,
prediction,
probability
reinforcement
CarloMonteadversarialcontinuationevaluationfailurelearning,method,methods,prediction,probabilityreinforcement
(0)
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1OBJECT TRACKING BASED ON BAYESIAN MONTE CARLO EMPLOYING PARTICLE GAUSSIAN INFORMATION FILTER
K.Saravanan, and P. Bindu. International Journal of Advance Robotics & Expert Systems (JARES), 1 (6): 11 - 21 (February 2020)
5 years ago by @jaresjournal
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(CCIA)
(MCPS)
Approach
Carlo
Cognitive
Control
Inspired
Monte
Particle
Simulation
(CCIA)(MCPS)ApproachCarloCognitiveControlInspiredMonteParticleSimulation
(0)
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1Current Issue - International Journal of Advance Robotics & Expert Systems (JARES)
A. Embark, K.Saravanan, and P. Bindu. International Journal of Advance Robotics & Expert Systems (JARES), 1 (6): 01 - 21 (February 2020)
5 years ago by @jaresjournal
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(CCIA)
(IoT)
(MCPS)
Approach
Bitcoin
Block
Carlo
Cognitive
Control
Inspired
Internet
Monte
Particle
Simulation
chain
of
things
(CCIA)(IoT)(MCPS)ApproachBitcoinBlockCarloCognitiveControlInspiredInternetMonteParticleSimulationchainofthings
(0)
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1Divergence, demography and gene loss along the human lineage.
H. Kim, T. Igawa, A. Kawashima, Y. Satta, and N. Takahata. Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 365 (1552): 2451--7 (August 2010)
5 years ago by @tigawa
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Analysis,Species
Animals,Biological
Carlo
Chains,Models,Molecular,Monte
Dynamics,Primates,Primates:
Effect,Genetic,Genetics,Humans,Likelihood
Evolution,DNA,Evolution,Founder
Functions,Markov
Method,Population,Population
Specificity
genetics,Pseudogenes,Pseudogenes:
genetics,Sequence
Analysis,SpeciesAnimals,BiologicalCarloChains,Models,Molecular,MonteDynamics,Primates,Primates:Effect,Genetic,Genetics,Humans,LikelihoodEvolution,DNA,Evolution,FounderFunctions,MarkovMethod,Population,PopulationSpecificitygenetics,Pseudogenes,Pseudogenes:genetics,Sequence
(0)
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1On the imprecisions that may be induced when applying the Blaugrund approximation for the analysis of Doppler-shift attenuation lifetime measurements
P. Petkov, and C. Müller-Gatermann. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, (2019)
6 years ago by @ikpcologne
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Blaugrund
Carlo
DSAM
Lifetime
Line
Monte
analysis
approximation,
determination
dewald
in
measurements,
myown
shapes
simulations,
BlaugrundCarloDSAMLifetimeLineMonteanalysisapproximation,determinationdewaldinmeasurements,myownshapessimulations,
(0)
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1Nested sampling with demons
M. Habeck. American Institute of Physics Conference Series, volume 1641 of American Institute of Physics Conference Series, page 121--129. (2015)
6 years ago by @rwhender
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02.50.Tt,
02.70.Rr,
02.70.Uu,
05.10.Ln
Bayesian
Carlo
Demon
Microcanonical
Monte
Nested
PACS:
computation;
ensemble;
sampling;
simulation;
02.50.Tt,02.70.Rr,02.70.Uu,05.10.LnBayesianCarloDemonMicrocanonicalMonteNestedPACS:computation;ensemble;sampling;simulation;
(0)
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1Diffusive Nested Sampling
B. Brewer, L. Pártay, and G. Csányi. Statistics and Computing, 21 (4): 649--656 (2011)
6 years ago by @rwhender
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Bayesian
Carlo
Computation;
Markov
Monte
Nested
Sampling;
chain
BayesianCarloComputation;MarkovMonteNestedSampling;chain
(0)
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BibSonomy

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1Don Carlos / Don Carlo – Opera Guide

1DON_CARLO.pdf

1The Markov-chain Monte Carlo Interactive Gallery

1PyMC | Free Science & Engineering software downloads at SourceForge.net

1Markov chain Montw Carlo in action: a tutorial

1"(Re) Carlo (non) torna dalla battaglia di Poitiers" di Giulio Cavalli - Google Video

publications (hide)286
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1Forecasting with Bayesian Vector Autoregression

1Monte Carlo Graph Search for Quantum Circuit Optimization (Accepted)

1Elastic Monte Carlo Tree Search

1Elastic Monte Carlo Tree Search State Abstraction for Strategy Game Playing

1Game State and Action Abstracting Monte Carlo Tree Search for General Strategy Game-Playing

2A decision heuristic for Monte Carlo tree search doppelkopf agents

1Costs of Agronomic Practices: Profitability at Different Scales of Sugarcane Production in Brazil

2Damage spreading in the Potts model with cluster dynamics

2Critical behavior of the 3D Ising model on a poissonian random lattice

1Potts model with q=3 and 4 states on directed small-world network

1Potts Model in One-Dimension on Directed Small-World Networks

1Noise induced phase transition in the S-state block voter model

1Adaptive Monte Carlo via Bandit Allocation (extended version)

1Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures

1OBJECT TRACKING BASED ON BAYESIAN MONTE CARLO EMPLOYING PARTICLE GAUSSIAN INFORMATION FILTER

1Current Issue - International Journal of Advance Robotics & Expert Systems (JARES)

1Divergence, demography and gene loss along the human lineage.

1On the imprecisions that may be induced when applying the Blaugrund approximation for the analysis of Doppler-shift attenuation lifetime measurements

1Nested sampling with demons

1Diffusive Nested Sampling

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