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Probabilistic Model

A probabilistic model of Ancient Egyptian writing

A probabilistic model of Ancient Egyptian writing

... We implemented the N -gram models and HMMs from Section 5. An acyclic finite automa- ton is first created, with states representing con- figurations together with the last N − 1 functions or classes. Transitions are ...

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Towards a Probabilistic Model for Lexical Entailment

Towards a Probabilistic Model for Lexical Entailment

... our model shows improvement when utilizing high quality resources such as WordNet and the CatVar (Categorial Varia- tion) database (Habash and Dorr, ...our model considers the impact of hypothesis length, ...

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Probabilistic model checking : a comparison of tools

Probabilistic model checking : a comparison of tools

... requirements. Probabilistic model checking focusses on proving correctness of stochastic systems ...A probabilistic model checker tool automates the correctness proving ...a model, ...

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A probabilistic model of Ancient Egyptian writing

A probabilistic model of Ancient Egyptian writing

... We implemented the N -gram models and HMMs from Section 6. An acyclic finite automaton is first created, with states representing configurations together with the last N − 1 functions or classes. Tran- sitions are ...

33

Almost always and "sometime definitely" are not enough: Probabilistic quanifiers and probabilistic model-checking

Almost always and "sometime definitely" are not enough: Probabilistic quanifiers and probabilistic model-checking

... a model-checking algorithm which deals with the specic probabilities, but yet makes use of algorithms from non-probabilistic model- ...the probabilistic model-checking with traditional ...

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A Probabilistic Model for Associative Anaphora Resolution

A Probabilistic Model for Associative Anaphora Resolution

... a probabilistic model for associative anaphora resolution in ...Our model regards associative anaphora as a kind of zero anaphora and resolves it in the same manner as zero anaphora resolution using ...

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Matrix-Variate Probabilistic Model for Canonical Correlation Analysis

Matrix-Variate Probabilistic Model for Canonical Correlation Analysis

... The remaining part of the paper is organized as follows: in Section 2, we review CCA and its probabilistic interpre- tation. Two-Dimensional CCA is described in Sections 3, and 4 introduces our ...

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A New Probabilistic Model for Title Generation

A New Probabilistic Model for Title Generation

... As shown in Table 2, the titles generated by the new model appear to be more relevant to the content of the document by comparison to the original titles. Furthermore, the titles in Table 2 appear to ‘smoother’ ...

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Bisimulation minimisation and probabilistic model checking

Bisimulation minimisation and probabilistic model checking

... for probabilistic model ...imised model is the optimal lumping algorithm from ...the model checker ...non-minimised model as well as on the lumped model ...the model plus ...

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A probabilistic model for information and sensor validation

A probabilistic model for information and sensor validation

... include probabilistic reasoning, planning, case based reasoning, model based reasoning and artificial neural ...a model for the representation of the domain ...

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Tagging English Text with a Probabilistic Model

Tagging English Text with a Probabilistic Model

... ML training, Viterbi tagging In ML training we take all the training data available 40,186 sentences but we only use the w o r d sequences, not the associated tags except to compute the [r] ...

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A Probabilistic Answer Type Model

A Probabilistic Answer Type Model

... the model, it may still be selected when the answer extraction module takes into account other factors such as the proximity to the matched ...a probabilistic model makes it eas- ier to integrate the ...

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Adapting a Probabilistic Disambiguation Model of an HPSG Parser to a New Domain

Adapting a Probabilistic Disambiguation Model of an HPSG Parser to a New Domain

... the probabilistic model of the original HPSG parser, we develop a log-linear model with additional features on a treebank of the biomedical ...disambiguation model that was trained on a larger ...

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Predicting Bacterial Levels in Recreational Beach Waters along U.S. Gulf Coast

Predicting Bacterial Levels in Recreational Beach Waters along U.S. Gulf Coast

... Bayesian model, presented in this paper, is capable to explain ...Bayesian model. The Bayesian model is innovative in terms of (1) the integration of a deterministic ANN model and a ...

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MoL 2014 21: 
  Informational cascades under variable reliability assessments: A formal and empirical investigation

MoL 2014 21: Informational cascades under variable reliability assessments: A formal and empirical investigation

... Bayesian rational agents in Bikhchandani et al.’s models [12] compute the best decision in a binary decision problem to maximize their expected utility. These models show that the seemingly irrational behavior of letting ...

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A Survey on Optimal Web Service Using Hidden Markov Model

A Survey on Optimal Web Service Using Hidden Markov Model

... a model driven approach, which automatically transforms a design model of service composition into an analysis model, which then feeds a probabilistic model checker for quality ...

5

Design and Verification of a  Blood Cell Separation Microfluidic Device

Design and Verification of a Blood Cell Separation Microfluidic Device

... Probabilistic model checking [5] is a formal analysis method where the behavior of the system is described using a Markovian model and probabilistic properties can be defined and verified for ...

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Almost Quantum Correlations are Inconsistent with Specker’s Principle

Almost Quantum Correlations are Inconsistent with Specker’s Principle

... possible probabilistic model, using the completely noisy effects 10 ...general probabilistic theories that was proposed by Chiribella and Yuan [31, ...

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FLEXIBLE SHARING IN DHT BASED P2P NETWORKS USING METADATA OF RESOURCE

FLEXIBLE SHARING IN DHT BASED P2P NETWORKS USING METADATA OF RESOURCE

... a probabilistic real time interpreted system can be further ...abstract model of a probabilistic real time interpreted system, present the three-valued semantics of probabilistic real-time ...

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AN UNCERTAIN COMPLEX  EVENT PROCESSING METHOD BASED ON MNFA.

AN UNCERTAIN COMPLEX EVENT PROCESSING METHOD BASED ON MNFA.

... As probabilistic event stream is prevalent in real-world applications, it should be meaningful to deal with uncertain event streams in academic and industrial fields using complex ...

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