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statistical model-based approach

A Dependency Based Statistical Translation Model

A Dependency Based Statistical Translation Model

... translation model based on dependency trees. The model adopts a tree- to-string approach and extends Phrase- Based translation (PBT) by using the de- pendency tree of the source ...

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Pseudo-measurement simulations and bootstrap for the experimental cross-section covariances estimation with quality quantification

Pseudo-measurement simulations and bootstrap for the experimental cross-section covariances estimation with quality quantification

... This approach is based on the construction of a regression model to replace the empirical mean and the generation of pseudo-measurements as a noise around this regression ...this approach is ...

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Duration Modeling in Hindi

Duration Modeling in Hindi

... a model for implementing the prosodic variation in text to speech synthesis(TTS) and automatic speech ...The approach for finding the the model is purely based on the statistical ...

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A Generalized Linear Statistical Model Approach to Monitor Profiles

A Generalized Linear Statistical Model Approach to Monitor Profiles

... limits based on a re-sampling approach under the assumption that the phase-one data were in ...charts based on the fuzzy logic approach have been proposed in the ...

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Review of Different Approaches for Machine Translations

Review of Different Approaches for Machine Translations

... this approach, translation is generated on the basis of statistical ...The statistical model parameters are derived from the analysis of bilingual text ...The model can be classified ...

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What controls the stable isotope composition of precipitation  in the Mekong Delta? A model based statistical approach

What controls the stable isotope composition of precipitation in the Mekong Delta? A model based statistical approach

... As illustrated in previous studies (e.g., Noone and Sim- monds, 2002) and discussed in Sturm et al. (2010), the in- herent limitations of empirical (or statistical) climate recon- structions from precipitation ...

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Sparse Factor Analysis for Learning and Content Analytics

Sparse Factor Analysis for Learning and Content Analytics

... new approach to learning and content analytics, which is based on a new statistical model that encodes the probability that a learner will answer a given question correctly in terms of three ...

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Phrase Based Statistical Machine Translation: A Level of Detail Approach

Phrase Based Statistical Machine Translation: A Level of Detail Approach

... It is noted that the underlying word-level alignment is just an approximation to the exact alignment. The approximation is reflected by a probability produced by the word-based translation model. The ...

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STATISTICAL  ANALYSIS OF THE TM- MODEL  VIA BAYESIAN APPROACH

STATISTICAL ANALYSIS OF THE TM- MODEL VIA BAYESIAN APPROACH

... one based on their sensory ...Thurstone-Mosteller model for the paired comparisons. A Bayesian analysis of the said model using the non-informative reference (Jeffreys) prior is presented in this ...

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IJCSMC, Vol. 3, Issue. 7, July 2014, pg.778 – 783 RESEARCH ARTICLE A Curvelet Based Decomposition Approach for Skin Infection Detection

IJCSMC, Vol. 3, Issue. 7, July 2014, pg.778 – 783 RESEARCH ARTICLE A Curvelet Based Decomposition Approach for Skin Infection Detection

... color model based hybrid approach in which the statistical analysis is combined with curvelet decomposition to identify the effective infection ROI over the ...the statistical measure ...

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Anomaly Detection and Prevention in Network Traffic based on Statistical approach and α Stable Model

Anomaly Detection and Prevention in Network Traffic based on Statistical approach and α Stable Model

... this approach depends on indication that is specific to a particular manifestation of a ...system model using fuzzy cognitive maps (FCMs) to overcome this ...

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To Detect and Prevent the anomaly in Network Traffic Based on Statistical approach and α stable Model

To Detect and Prevent the anomaly in Network Traffic Based on Statistical approach and α stable Model

... Anomaly recognition has been addressed in many prior projects, and previous works have primarily focused on security tasks (detecting DDoS attacks, worms, or other intrusion…). In many cases, providers use very simple ...

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A Statistical, Grammar Based Approach to Microplanning

A Statistical, Grammar Based Approach to Microplanning

... tistical approach proposed by Angeli, Liang, and Klein (2010) for generation from databases and describes a generation model that jointly performs content selection, sentence planning, and surface ...their ...

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A Syntax based Statistical Translation Model

A Syntax based Statistical Translation Model

... showed statistical models based on syntactic ...their approach is not to model the translation process, but to formalize a model that generates two languages at the same ...

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Recognizing the Emotional State Changes in Human Utterance by a Learning Statistical Method based on Gaussian Mixture Model

Recognizing the Emotional State Changes in Human Utterance by a Learning Statistical Method based on Gaussian Mixture Model

... paper. Based on their results, they have achieved good results in accuracy rates in some of emotional states such as anger and sadness, 92% and 89%, respectively ...proposed approach shows the better ...

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Survey of various POS tagging techniques for
          Indian regional languages

Survey of various POS tagging techniques for Indian regional languages

... Using Statistical Approach. They used statistical tagger using Unigram, Bigram, Trigram and HMM ...their model by calculating frequency and probability of words of given ...suggestion ...

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An Improved Approach of Maximal Similarity based Statistical Region Merging Using Nearest Neighbourhood Technique

An Improved Approach of Maximal Similarity based Statistical Region Merging Using Nearest Neighbourhood Technique

... weighted model), unmarried linkage or whole ...period based on the scale of the ...example, based totally on the perimeter length or field- perimeter ...

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An approach based on statistical spline model for Volterra-Fredholm integral equations

An approach based on statistical spline model for Volterra-Fredholm integral equations

... We turn now to the construction of the numerical algorithm for solving integral equation (1.1) numerically. Obviously the integral equation (1.2) could either be solved using the same method. The main tool at our ...

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Reliability Evaluation Model of Embedded System Based on Machine Learning Method

Reliability Evaluation Model of Embedded System Based on Machine Learning Method

... Based on the KNN[3-5] classification analysis algorithm, formula 2 is used as the distance calculation formula, and the two cluster analysis of the training sample set is carried out. If the number of edge nodes ...

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Generating Natural Language Video Descriptions Using Text Mined Knowledge

Generating Natural Language Video Descriptions Using Text Mined Knowledge

... We used the English portion of the YouTube data collected by Chen et al. (2010), consisting of short videos each with multiple natural-language descrip- tions. This data was previously used by Motwani and Mooney (2012), ...

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