「PROBABILITY」の共起表現一覧(1語右で並び替え)

PROBABILITY

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  • e not enough to demonstrate with sufficient probability a copying of the source code.
  • i at Versailles and other works, and in all probability a large number of the drawings ascribed to
  • is the probability, above the population average, of the indiv
  • article moves because there is a transition probability acting on it.
  • Win Probability Added (WPA): Vladimir Guerrero, 5.9 (2007)
  • o 5' proofreading activity and, with a high probability, adds a single, 3'-adenine overhang to each
  • e electron orbiting a hydrogen atom has the probability, albeit small, that it could be anywhere el
  • boer" (Teeuwis the farmer), a comedy in all probability already written during his years in Leiden,
  • acting on the wavefunction (the probability amplitude for different configurations of t
  • nor of the same name, and indeed was in all probability an Iron Age trackway.
  • In probability and statistics, the log-logistic distributi
  • ionally published in other subjects such as probability and computer science.
  • Richard von Mises, Probability and Statistics, General, American Mathemati
  • the theory are the concepts of algorithmic probability and Kolmogorov complexity.
  • She has been a professor of probability and statistics at University College London
  • His undergraduate text, Probability and Statistics, published in 1975, is widel
  • en is internationally-renowned for applying probability and statistics to casino gambling games.
  • Editor and President of Indian Society for Probability and Statistics.
  • sses offered are: English I-IV, Concepts of Probability and Statistics, Concepts of Problem Solving
  • The simple form of the probability, and the direct relation with the correspon
  • In probability and statistics, a correlation inequality is
  • kers, if a given phenomenon occurs with low probability and also conforms to a pre-specified patter
  • cians complained about his imprecise use of probability and the unsupported derivation of his formu
  • Green, Brown, & Probability and Brownian Motion on the Line; by Kai Lai
  • His 1959 book, Probability and Statistics for Business Decisions, was
  • bug fixes (show stoppers), risks with high probability and critical impact.
  • Probability and Random Processes.
  • He contributed to the fields and probability, and statistics and to their application to
  • CT3 - Probability and Mathematical Statistics
  • 1991 Induction, Probability and Skepticism
  • An Epistemological Analysis of the Roles of Probability and Induction in the Natural Sciences."
  • Subjective or Bayesian probability; and
  • 1972, Probability and Evidence, London: Macmillan.
  • Probability and Statistics (Standard, and AP)
  • tistics (which comprises the departments of Probability and Statistics, Applied Mathematics and Pur
  • The judge has also written on probability and plausible reasoning.
  • pher of science and the author of a book on Probability and Induction.
  • istry, Art Studio, Psychology, Spanish, and Probability and Statistics, World History, and English
  • Probability and Weighing of Evidence (1950), Griffin, L
  • Holden-Day Series in Probability and Statistics, 1977.
  • nationally renowned for his work in applied probability and reliability theory" and that he "publis
  • 2004 he holds a full-professorship (Applied Probability and Queueing Theory) at the University of A
  • med that Wos would on December 4 with great probability announce her leaving her post as ambassador
  • However, probability appears when the system, or its parts, are
  • ontributions to the study of statistics and probability are also significant.
  • oblem," in F. Watts, ed., Creation: Law and Probability, Ashgate.
  • cular conformation is then dependent on the probability associated with the occupancy of that state
  • The probability, assuming the null hypothesis is true, of o
  • A low probability asteroid occultation of star UCAC2 17967364
  • P1: Probability at birth of not surviving to age 40 (times
  • ciety, dating back to at least 1800, but in probability at least another 75 years before that (Donn
  • inced of this fact by an honest prover with probability at least 1/2.
  • een y and C is δn, then Ty(1n) accepts with probability at most s(δ).
  • omputation), then the other party wins with probability at most .
  • Whatever probability attaches to the hymns for Terce and None af
  • c.), with greater probability, attributes its structure to some Babylonia
  • cards is dropped by certain enemies, with a probability based on the player character's "luck" stat
  • Precise expressions for the transition probability, based on first-order perturbation Hamilton
  • at the Basilica of Sant'Eustorgio, can with probability be assigned to a period of his career earli
  • In this aspect, the neglect of probability bias is similar to the neglect of prior bas
  • S-boxes, the cryptanalyst can tell what the probability biases are.
  • Combined with his universal probability bound of 10−150, he claims that this criter
  • ty equals 10150, then the overall universal probability bound corresponds to the original value.
  • e from which the viewpoint character of The Probability Broach had escaped, with a plan to someday
  • His mathematical interests include probability, Brownian motion and fractal sets.
  • He further, in all probability, built more vessels for foreign account tha
  • e they offend the average reader's sense of probability but because in effect they decide the issue
  • he was appointed head of the department of probability calculation and mathematical statistics at
  • the book's scientific content and prophecy probability calculations, but not addressing issues of
  • e allows analysts to expand on the built-in probability calculations.
  • A multiplicative factor in probability can be reinterpreted as an additive term in
  • based on the approximation that the overall probability can be factored into an identical separate
  • with Weinberg, have proposed that Bayesian probability can be used to compute probability distribu
  • nn argues that two people with common prior probability cannot agree to disagree.
  • "BeForU III: Breaking into the Probability Changes", is the third studio album by the
  • law of radiation using a formalism based on probability coefficients (Einstein coefficients) for th
  • emical potential, which is a multiplicative probability cost for adding one more atom.
  • The probability cost of one more atom is a factor of exp( −
  • The presence of potholes increases the probability crashing.
  • He has research interests in applied probability, decision analysis and optimal decisions, i
  • imum-likelihood decoding or an a posteriori probability decoding to be performed in constant time p
  • However, at extremely high mobilities, the probability decreases as the vibrational and rotational
  • He developed also the double bounded probability density function (Kumaraswamy distribution)
  • Kushner) is an equation for the conditional probability density of the state of a stochastic non-li
  • Although the Probability density function can be controlled to some
  • For 4U 1630-47, the location of maximum probability density is B1950.0
  • where p(y | ξ) is the marginal probability density in observation space
  • For a random variable X : Ω → Rn with probability density function f : Rn → R, the informatio
  • s that are determined from the jumping time probability density functions.
  • and Y be independent random variables with probability density functions in the Lp space Lp(Rn) fo
  • us a rough idea of (the reciprocal of) the probability density in that region: the closer together
  • riable hain with parameter λ, that is, with probability density function
  • ts phases, rather than the |ψ|2 which shows probability density but has no phases (which have been
  • ), ϕ(·) are the cumulative distribution and probability density functions of the standard normal di
  • o box plots, except that they also show the probability density of the data at different values (in
  • It has the probability density function
  • o box plots, except that they also show the probability density of the data at different values (in
  • This will construct a smooth probability density function, which will in general mor
  • ns represent multi exponential jumping time probability density functions, the process is semi-Mark
  • where p(r|x) denotes the conditional joint probability density function of the observed series {r(
  • Then the maximum entropy probability density function is
  • see probability density); or, more concretely, the quantity
  • miciops is the only survivor), which in all probability derive from a single colonization out of So
  • In other words, the nth moment of this probability distribution is the number of partitions of
  • s to a larger statistical dispersion of the probability distribution for a Paleolithic man to have
  • The K-distribution is a probability distribution that arises as the consequence
  • Inputs are generated from a uniform probability distribution without regard to the actual u
  • ected value of A is defined in terms of the probability distribution DA by
  • order approximation (UKF in general, but if probability distribution is Gaussian a third-order appr
  • A language model is a probability distribution over entire sentences or texts
  • etrieval System Which Maintains a Posterior Probability Distribution That Each Item in the Database
  • e diagram, it is clear that the conditional probability distribution of the hidden variable x(t) at
  • It states that a probability distribution that has a positive mass or de
  • has the Markov property if the conditional probability distribution of future states of the proces
  • e state x of the system at time t (namely a probability distribution pt(x)); we want to know the pr
  • Markov property states that the conditional probability distribution for the system at the next ste
  • By computing the probability distribution of angles along a handwritten
  • that produces the resonance; the resulting probability distribution is proportional to the absolut
  • Often one tries to model an unknown probability distribution p, based on a training sample
  • subject to the probability distribution satisfying a set of constraint
  • It is an estimate of the probability distribution of a continuous variable and w
  • Given some p and any computable but unknown probability distribution from which x is sampled, the u
  • er nodes and the degree distribution is the probability distribution of these degrees over the whol
  • In these cases, the probability distribution is represented as a multivaria
  • e particle physics experiment ARGUS, is the probability distribution of the reconstructed invariant
  • If ε+ δ <1/2, then the probability distribution
  • Y has a symmetric trapezoidal probability distribution in this case.
  • equivalent if they both result in the same probability distribution of observable data.
  • Given: a system (including current probability distribution) and Mechanism (which specifie
  • njunction to choose a statistical ensemble ( probability distribution) for the unknown microscopic s
  • red a function of n for fixed N this is the probability distribution, but when considered a functio
  • circular distribution is often a continuous probability distribution, and hence has a probability d
  • network and thus fully represent the joint probability distribution, it is necessary to specify fo
  • he columns of X are a sample from the prior probability distribution, then the columns of
  • erivation, the K-distribution is a compound probability distribution.
  • e Gibbs algorithm is then a maximum entropy probability distribution.
  • ny quantum state can be expressed as a real probability distribution.
  • An Introduction to Geometrical Probability: Distributional Aspects with Applications ,
  • Let A be a set of probability distributions over an alphabet X, and let q
  • bi is a relation from the set of all probability distributions over opponent player profiles
  • p(kM0(mech,mu1))) is the product of all the probability distributions of each part of the system in
  • lculation stage consists of propagating the probability distributions for the input quantities thro
  • Fully parametric: The probability distributions describing the data-generatio
  • ation theory, the cross entropy between two probability distributions measures the average number o
  • terest, or k-mer statistics giving discrete probability distributions of a number of possible k-mer
  • In maximum entropy modeling probability distributions are created on the basis of t
  • graphical adjunct to a tests of the fit of probability distributions, with additional lines being
  • It states that if P, Q are two probability distributions, then
  • , XN have been characterized by appropriate probability distributions, and the measurement model ha
  • ution is formed by compounding two separate probability distributions, one representing the radar c
  • CalEst incorporates 16 probability distributions.
  • ggested that Mercury poisoning was a strong probability, Dr Herbert concurred.
  • The probability each year of the heaviest three-hour rainfa
  • years, his work has touched on the areas of probability, ergodic theory, and most importantly, harm
  • quently used in optimization and rare-event probability estimation; see the cross-entropy method.
  • Additional evidence of inflated probability estimations can be found in Arkes and Blume
  • may follow a course of action that has some probability, even if the opposite is more probable.
  • exp(−E/kT), we choose configurations with a probability exp(−E/kT) and weight them evenly.
  • reported by DSSP, also contain statistical probability factors derived from empirical examinations
  • Church, maybe one or two houses and in all probability few families remain in the area who lived h
  • augmentation gave him the ability to affect probability fields through psionic means in order to gi
  • This results in an elevated probability for sodium channels to open, leading to dep
  • The low probability for collisions in the nebula made it imposs
  • e moderated to lower their speed, since the probability for fission with slow neutrons is greater.
  • noise variance for AWGN, bit crossover probability for Binary symmetric channel)
  • at negligibility was relative to a model of probability for a specific physical system.
  • This long lifetime leads to a high probability for reactions with other molecules - so cal
  • m determines the score corresponding to the probability for a particular message to be spam.
  • SUMOplot predicts the probability for the SUMO consensus sequence (SUMO-CS) t
  • Prediction Scheme model issued a 46 percent probability for rapid intensification of the storm.
  • finite set and let K(x,y) be the transition probability for a reversible Markov chain on X. Assume
  • History of the Mathematical Theory of Probability from the Time of Pascal to that of Lagrange
  • his stint, Harris shifted his focus to the probability game Keno, for which he developed a program
  • N + 1 corresponds to observation symbols or probability generators at level N. Every level i of the
  • at least b bits if no possible state has a probability greater than 2-b.
  • ocyte instead of in the polar bodies with a probability greater than one half.
  • detachment under his command would, in all probability, have been cut off and destroyed.
  • ke the interview, he tries to calculate the probability he will get the job versus the cost of the
  • Though in all probability I gained a brigadier at his death, I would
  • d to recover the level beneath it with high probability if all the recovery blocks are present and
  • rough the cipher with greater than expected probability, impossible differential cryptanalysis expl
  • ror patterns are detected with more uniform probability, improving the probability that the least d
  • His thesis was in the area of probability in Banach spaces, and solved a problem rela
  • There is a greater probability in rolling an even number sum composed of n
  • eue all leaf nodes into the first queue (by probability in increasing order so that the least likel
  • y of Sciences (NAS) for “the theory of free probability, in particular, using random matrices and a
  • With the probability in interrupting the oil flow to prevent an
  • Interpreting probability in a context where it is only possible to d
  • At any rate, he found a high degree of probability in favor of the conclusion at which he had
  • d the contemporary studies, they are in all probability incorrectly understood, since in the Persia
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