「Probabilistic」の共起表現(1語右で並び替え)

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Probabilistic

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sis, future Internet, network society, and probabilistic adaptive systems.
Condensation is a probabilistic algorithm that attempts to solve this prob
, locally testable codes have an efficient probabilistic algorithm that, based on its random bits,
small subgraphs within a given graph using probabilistic algorithms, which can then be derandomized
NESSUS uses highly efficient and accurate probabilistic analysis methods, probabilistic solutions
NESSUS is a general-purpose, probabilistic analysis program that simulates variations
v decision processes, queueing theory, the probabilistic analysis of algorithms, and the theory of
r of approaches to defining the Laplacian: probabilistic, analytical or measure theoretic.
He is known for probabilistic and statistical modelling.
ASC applies advanced probabilistic and optimization assessments for increasin
has published prolifically in the area of probabilistic and statistical modelling and analysis, wi
tural language processing uses stochastic, probabilistic and statistical methods, especially to res
Constructs Involving Abstract PCSets, and Probabilistic Applications", Perspectives of New Music,
A Probabilistic Approach to Model Update (2001)
the Monte Carlo localization algorithm, a probabilistic approach to mobile robot localization that
An extension of the PDAF is the Joint Probabilistic Association Filter which takes account of
ognition, using rule-based expert systems, probabilistic Bayesian analysis or fuzzy logics algorith
ilner's CCS and Hoare's CSP by introducing probabilistic branching and timing of transitions.
combinatorics, Janson has publications in probabilistic combinatorics, particularly random graphs
Probabilistic Computation Tree Logic is an extension of
interaction mediated by a particle, but a probabilistic consequence of physical systems' tendency
ProbCons is an open source probabilistic consistency-based multiple alignment of am
e-estimating production probabilities in a probabilistic context-free grammar.
e of operators AND, OR, NOT, and XOR) in a probabilistic context.
pages: Classical Potential Theory and Its Probabilistic Counterpart.
The probabilistic data association filter (PDAF) is a statis
theory has also been applied for a purely probabilistic derivation of the fundamental physical pri
art of a 10-year NASA project to develop a probabilistic design tool for the space shuttle main eng
es a response function that depends on the probabilistic distributions of the input variables.
) is a software package designed to aid in probabilistic engineering analysis.
ork in other areas of development, such as probabilistic epigenesis and gene regulatory networks.
amount of self-information contained in a probabilistic event depends only on the probability of t
convolution codes working in parallel with probabilistic feedback.
Probabilistic Forecasting - A Primer
Unlike other probabilistic formalisms, DOP takes into account all sub
Physique du Globe), and author of the book probabilistic formulation of inverse problems (Tarantola
lapse, making the objective results only a probabilistic function rather than a fixed reality.
It incorporates novel features including probabilistic functions to reflect uncertainty and spati
(DOP, also data-oriented processing) is a probabilistic grammar formalism in computational linguis
One may construct a probabilistic grammar from a traditional formal syntax b
On most samples of broad language, probabilistic grammars that tune these probabilities fro
Probabilistic Graphical Models.
Generally, probabilistic graphical models use a graph-based represe
However this mechanism can only give probabilistic guaranties.
require either unrealistic assumptions of probabilistic independence, or require the experts to pr
case-based inference as a specific type of probabilistic inference; thus, it becomes possible to pr
ochastic natures can be described by their probabilistic information.
Latent semantic analysis and Probabilistic latent semantic analysis
An early topic model was probabilistic latent semantic indexing (PLSI), created b
A Markov logic network (or MLN) is a probabilistic logic which applies the ideas of a Markov
analysis, stochastic global optimisation, probabilistic methods in search and number theory.
hese include the use of certainty factors, probabilistic methods such as Bayesian inference or Demp
Variational Problems, Geometric and Probabilistic Methods, Cambridge University Press 1997
"A probabilistic model consists of a non-probabilistic mode
d as a property specification language for probabilistic model checkers.
A graphical model is a probabilistic model for which a graph denotes the condit
ses as the consequence of a statistical or probabilistic model used in Synthetic Aperture Radar (SA
ghted on base average), Range Factor, PMR ( probabilistic model of range) and Zone Rating.
ince joining Georgia Tech, he has explored probabilistic model-based reasoning, paired with randomi
tural engineering students to the field of probabilistic modeling and decision analysis, and remain
idden Markov random fields assume that the probabilistic nature of Yi is determined by the unobserv
oving where are supported naturally by the probabilistic nature of the approach.
nd the characteristics of this system have probabilistic nature.
hought in modeling the channel behavior 1) Probabilistic noise model studied by Shannon in which th
This makes the problem into a probabilistic one, in which the question is of the distr
e problem of evil (also referred to as the probabilistic or inductive version), seeks to show that
square roots modulo a composite number is probabilistic polynomial-time equivalent to factoring th
d on a screen, whereupon the system uses a probabilistic predictive model to anticipate the likely
Thrun is also known for his work on probabilistic programming techniques in robotics, with a
Pro for PRObabilistic reachability analysis.
ground against which non-deterministic and probabilistic reasoning can be performed.
es have been used as a graphical model for probabilistic reasoning.
Once the probabilistic response is quantified, the results can be
Several probabilistic results are known about the number of comp
astian Thrun he is a co-author of the book Probabilistic Robotics.
solid mechanics, nonlinear estimation, and probabilistic robust control.
Probabilistic search engines rank items based on measure
SSHAC, 1997: Recommendations for probabilistic seismic hazard analysis: guidelines on unc
th Dr. Luis Esteva, developed the field of Probabilistic Seismic Hazard Analysis in 1968.
Probabilistic Signature Scheme
ates Department of Energy (DOE) to develop probabilistic simulation software that could be used to
irst by Sven Koenig (1991), who showed how probabilistic STRIPS operators provide a compact represe
• Uncertainty propagation and probabilistic structural analysis.
ther translation of p into t without using probabilistic tests (as in triangulation).
imization methodologies which are based on probabilistic theory are generally classified into two g
c Turing machines efficiently simulate all probabilistic Turing machines with at most a polynomial
the notion of acceptance of a string by a probabilistic Turing machine can be defined in different
hich can be solved in polynomial time by a probabilistic Turing machine but not a deterministic Tur
ammar, which considers grammaticality as a probabilistic variable.
subject many years later when he proved a probabilistic version of Fatou's boundary limit theorem
Thomas Jakobsen introduced a probabilistic version of the interpolation attack using
nslated these "alterations" into that of a probabilistic view of order and disorder in gas phase mo
inferred about after their occurrence as a probabilistic wave collapse.
ble to define or interpret in any sensible probabilistic way.