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Posterior Probability

A Cellular Ant Colony Algorithm for Path Planning Using Bayesian Posterior Probability

A Cellular Ant Colony Algorithm for Path Planning Using Bayesian Posterior Probability

... on posterior probability is ...conditional probability in the search process of ant colony ...the posterior probability is calculated as the Bayesian path selection probability, ...

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Comparing and Combining Generative and Posterior Probability Models: Some Advances in Sentence Boundary Detection in Speech

Comparing and Combining Generative and Posterior Probability Models: Some Advances in Sentence Boundary Detection in Speech

... A more qualitative limitation of the maxent model is that it only uses local evidence (the sur- rounding word context and the local prosodic fea- tures). In that respect, the maxent model resem- bles the conditional ...

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A New Fuzzy SVM based on the Posterior Probability Weighting Membership

A New Fuzzy SVM based on the Posterior Probability Weighting Membership

... samples posterior probability of the sample characteristics to determine by the type (13) , then fuzzy support vector machine solution the optimal hyperplanes for the optimization problem is [2] : ...

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Speech/Non-Speech Segmentation Based on Phoneme Recognition Features

Speech/Non-Speech Segmentation Based on Phoneme Recognition Features

... These representations and approaches focused on the acoustic properties of data that are manifested in either the time and frequency or spectral (cepstral) domains. All the representations tend to characterize speech in ...

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Signals embedded in the radial velocity noise

Signals embedded in the radial velocity noise

... According to Bayesian analyses of the velocities of HD 40307, there are actually three additional periodicities in the data that satisfy all the detection criteria presented in Section 3. This implies that there are ...

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Differential Incidence of Type II Diabetes Mellitus between Male and Female using Beta Binomial Model

Differential Incidence of Type II Diabetes Mellitus between Male and Female using Beta Binomial Model

... duration and considerable associated morbidity is type II diabetes mellitus. This disease affects a large populations around the world regardless of economic status and its predominance is rising despite the struggles of ...

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Mining and Integration of Structured and Unstructured Electronic Clinical Data for Dementia Detection

Mining and Integration of Structured and Unstructured Electronic Clinical Data for Dementia Detection

... of posterior probability distribution), the more interesting Borda Count voting method could be ...Bayesian probability and work with classifiers that produce posterior distributions ...

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The Use of Multiple Markers in a Bayesian Method for Mapping Quantitative Trait Loci

The Use of Multiple Markers in a Bayesian Method for Mapping Quantitative Trait Loci

... For the sampler with recombination rates ( r ) included in the parameter vector rather than distances ( d ) , the marginal posterior probability of nonlinkage was estima[r] ...

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The determinants of macroeconomic volatility: A Bayesian model averaging approach

The determinants of macroeconomic volatility: A Bayesian model averaging approach

... highest posterior probability, and the linear model which performs particularly ...highest posterior probability can only be derived by performing the BMA procedure and therefore is not ...

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Bayesian Model Selection And Estimation Without Mcmc

Bayesian Model Selection And Estimation Without Mcmc

... the posterior model uncertainty, we then describe a particle optimization procedure that targets several high-posterior probability models ...for posterior functionals that average out the ...

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Monetary policy and sunspot fluctuation in the U S  and the Euro area

Monetary policy and sunspot fluctuation in the U S and the Euro area

... the posterior means (solid lines) and 90-percent posterior probability intervals (dashed lines) for impulse responses of output growth, inflation, the nominal interest rate, in each country, and ...

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CBT-Gronewold_1-s2.0-S0048969717302966-main.pdf

CBT-Gronewold_1-s2.0-S0048969717302966-main.pdf

... the posterior probability distribution of the FIB con- centration ...terior probability distribution for c for the v = { 56, 30, 10, 3, 1 } CBT design is included in the Supplementary ...and ...

6

Rossiter McLaughlin models and their effect on estimates of stellar rotation, illustrated using six WASP systems

Rossiter McLaughlin models and their effect on estimates of stellar rotation, illustrated using six WASP systems

... Examination of the posterior probability distribution for the no-prior case revealed that this was caused by the Bou´e model under-predicting v sin Is compared to the spectroscopic value[r] ...

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Performance Evaluation of MIMO-WiMAX Using Zigzag coding Modulation

Performance Evaluation of MIMO-WiMAX Using Zigzag coding Modulation

... A Posterior Probability (APP) decoding of zigzag codes, this process starts with the information of posterior probabilities for each data bit then the data bit value is chosen which corresponds to ...

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Situation Assessment Method Based on Bayesian Network and Its Application in Space Battlefield

Situation Assessment Method Based on Bayesian Network and Its Application in Space Battlefield

... conditional probability table, posterior probability distribution of non-evidential nodes can be calculated with knowing the state of the proof ...

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From p-values to objective probabilities in
assessing medical treatments

From p-values to objective probabilities in assessing medical treatments

... our posterior probability showing that there is a 90% chance that it is ...the probability of effectiveness, with the p-value = ...the posterior probability ...

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First molecular detection of Rickettsia africae in ticks from the Union of the Comoros

First molecular detection of Rickettsia africae in ticks from the Union of the Comoros

... Figure 2A showed a distinct phylogenetic Comorian clade posterior probability > 0.968 in which one well-supported group of sequences posterior probability > 0.999 included sequences from[r] ...

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Bayesian Factorized Cointegration Analysis

Bayesian Factorized Cointegration Analysis

... the posterior probability that the rank of the factor loading matrix of non-stationary fac- tors is smaller than the number of unit-root processes is ...the posterior marginal proba- bilities of ...

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Optimal Classifier for Fraud Detection in Telecommunication Industry

Optimal Classifier for Fraud Detection in Telecommunication Industry

... predictive probability model that can capture both the present and past history of the subscribers and classify them accor- ...and posterior probabilities of the groups. We group these posterior ...

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Non local priors for high dimensional estimation

Non local priors for high dimensional estimation

... The posterior probability assigned to the full model under all three priors is 1 (up to rounding) (Supplementary Table ...The posterior mass is well-shifted away from 0 and resembles an elliptical ...

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