exact inference
Investigations in Exact Inference for Hierarchical Translation
... a subset of all the possible derivations that would correspond to a full intersection with the target lan- guage model. In a second step this grammar is sampled through the same dynamic programming procedure that we have ...
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Improving Coverage and Runtime Complexity for Exact Inference in Non Projective Transition Based Dependency Parsers
... These theoretical improvements are a step to- wards making recent state-of-the-art results in transition-based parsing with exact inference (Shi et al., 2017) extensible to practical non-projective parsing, ...
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Exact Inference on Gaussian Graphical Models of Arbitrary Topology using Path-Sums
... We have presented an approach for exact inference of marginals in Gaussian graphical models, called the path-sum formulation. This approach represents the covariance matrix Σ of a Gaussian Markov Random ...
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Adaptive Exact Inference in Graphical Models
... tive inference in graphical models was first considered by Delcher et ...Adaptive exact inference using graph-cut techniques has also been studied by Kohli and Torr ...approximate inference ...
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Sequential Labeling with Latent Variables: An Exact Inference Algorithm and its Efficient Approximation
... the exact cause of this interesting phenomenon, but remov- ing latent paths with low probabilities may resem- ble the strategy of pruning features with low fre- quency in the training ...
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Exact inference on scaling parameters in norm and antinorm contoured sample distributions
... The aim of the present paper is to allow more general distributions of the sample vec- tor, and to study exact distributions of generalized Chi-square and Fisher statistics being based upon the maximum likelihood ...
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Exact Inference for Generative Probabilistic Non Projective Dependency Parsing
... all inference rules that have been applied in the computation of each item by the above al- gorithm, by encoding each application of a rule as a reference to the pair of items that were taken as antecedent in the ...
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Approximate Bayesian computation (ABC) gives exact results under the assumption of model error
... It has been shown in this paper that approximate Bayesian computation algorithms can be considered to give exact inference under the assumption of model error. However, this is only part of the way towards ...
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Exact Tests and Exact Confidence Intervals for the Ratio of Two Binomial Proportions
... Fisher’s exact test (Fisher, 1935) can not be ...only exact unconditional tests if they are to do exact inference for this ...Fisher’s exact test but has to resort to confidence ...
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Efficient Probabilistic Inference Algorithms for Cooperative Multiagent Systems
... for exact in- ference with MSBNs, it is too costly to carry out efficient computation with the current Hugin-based message ...LJF inference structure for improved efficiency of exact global propa- ...
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Least squares estimation for a multivariate Weibull model of Hougaard-based on accelerated life test of component and system.
... Modeling the lifetimes of the components as Gumbel's (1960) bivariate exponential BVE, Lu and Bhattacharyya (1988b) developed several exact inference procedures based on the data obtaine[r] ...
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Margin based Decomposed Amortized Inference
... provably exact inference algorithm that uses the notion of a structured margin to identify previ- ously solved problems whose solutions can be re- ...amortized inference, is a meta-algorithm over any ...
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libDAI: A Free and Open Source C++ Library for Discrete Approximate Inference in Graphical Models
... from exact inference by brute force enumeration and the junction-tree method, libDAI cur- rently offers the following approximate inference methods for calculating partition sums, marginals and MAP ...
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Research of Data Model under Exponential Distribution Based on Type II Hybrid Censored Sample
... the exact inference of the scale parameter of exponential distribution with consideration of Type-I hybrid censoring ...the exact conditional distribution of the scale parameter of exponential ...the ...
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Efficient Data Association in Visual Sensor Networks with Missing Detection
... However, the introduction of spatiotemporal informa- tion greatly complicates the association problem in the following two aspects. First, as the spatiotemporal obser- vations of the same object from cameras in the VSN ...
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Nonparametric generalized belief propagation based on pseudo-junction tree for cooperative localization in wireless networks
... In order for BP/NBP to be successful, it needs to avoid over-counting [20,22], a situation in which the same evi- dence is passed around the network multiple times and mistaken for new evidence. Of course, this is not ...
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Exact and efficient Bayesian inference for multiple changepoint problems
... perform exact inference for a range of problems (Fearnhead and Meligkotsidou, 2004; Fearnhead, ...perform exact inference conditional on the number of changepoints, and in some cases to ...
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Temporal Restricted Boltzmann Machines for Dependency Parsing
... Because decision probabilities are conditioned on the history, once a decision is made the correspond- ing variable becomes observed, or visible. In an ISBN, the directed edges to these visible variables and the large ...
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Heuristic assignment of CPDs for probabilistic inference in junction trees
... Bayesian network, the architecture of the junction tree based algorithms for exact.. inference on BN's is briefly explained.[r] ...
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Research of Data Model under Exponential Distribution Based on Type I Hybrid Censored Sample
... the exact inference of exponential distribution by considering the Type-I hybrid ...the exact conditional distribution of the maximum likelihood estimator (MLE) as well as the exact confidence ...
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