Data-driven models
A Comparative Evaluation of Data driven Models in Translation Selection of Machine Translation
... two data-driven models used in translation selec- tion of English-Korean machine ...of data-driven models in particular. These models are able to represent complex ...
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Legitimising data driven models: exemplification of a new data driven mechanistic modelling framework
... imise data-driven hydrological models is addressed using an example of a simple artificial neural network modelling prob- ...Many data-driven models in hydrology have been crit- ...
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Assessment of data-driven models in downscaling of the daily temperature in Birjand synoptic station
... predictive data, the accuracy and efficiency of various models such as ANN, SVM, SVR, ANFIS, GP, CARMA, CARMA-ARCH and multivariate regression were ...weather models developed by the Canadian Center ...
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Efficiency Metrics for Data Driven Models: A Text Summarization Case Study
... Using data-driven models for solving text summarization or similar tasks has become very common in the last ...proposed models to improve when trained on more ...three data efficiency ...
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Coupling physically based and data-driven models for assessing freshwater inflow into the Small Aral Sea
... and data-driven ...learning models both for territories with complex water management system and strong water-related data ...and data of the proposed system is available on a Github ...
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Predicting Hydraulic Jump Length on Rough Beds Using Data-Driven Models
... observed data during test ...ANNs models the similar results can be ...GEP models compared to the other input ...of models compared to other input ...
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Data driven models to predict the elimination of sleeping sickness in former Equateur province of DRC
... the models agreed that most health zones within the province are on track to achieve the elimination as a public health prob- lem by 2020 if active screening continues at the mean level achieved between 2000 and ...
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Data Driven Models for Language Evolution
... of parameters: a 26-by-26 symmetric matrix representing the substitution probabilities for each character of the Roman alphabet; the insertion and deletion probabilities for each character of the Roman alphabet; the ...
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Knowledge Mining With Big Data Handling with Data Driven Models K Kotaiah Swamy & E Ravi Kumar
... mixture data analysis, the basic concept of heterogeneous mixture learning and the results of a demonstration experiment that deal with electricity de- mand ...big data analysis increases its importance, ...
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Software Application for Data Driven Prediction Models for Intermittent Streamflow for Narmada River Basin
... intelligence techniques, regression models and stochastic models are the type of black-box or data-driven models. Stochastic processes can be either linear or nonlinear processes. For ...
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Data driven, PCFG based and Pseudo PCFG based Models for Chinese Dependency Parsing
... Explicitly defining linguistic rules to express precisely generic grammatical regularities, a con- stituency grammar can be applied to arrange sen- tences into a hierarchy of nested phrases, which de- termines ...
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Communication for Teams of Networked Robots
... determine data-driven models for point-to-point wireless channel prediction, test relative signal-strength-based localization methods, and to verify that our algorithms for mobility control maintain ...
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Machine-Learning Paradigms for Selecting Ecologically Significant Input Variables
... used data-driven models for selecting the significant input variables, namely, artificial neural networks (ANN) and genetic programming (GP) using first, a test problem from fluid mechanics and then ...
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Data Driven Analysis and Prediction using Regression Models on Iot based Drainage Monitoring System
... the data collected through various IOT sensors. The data is processed and used for training the Machine learning models which help in further predicting the safety of future drain data by ...
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A Study of Conceptual Data Modelling in the Era of Big Data: A Case of Zambia
... way data is collected and stored has evolved over time due to various developments which has led to advancements in database ...structured data were stored, however, with the increase in the business demand ...
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Data Driven Text Simplification
... neural models (Nisioi et ...previous data-driven ap- proaches in terms of quality of generated output (better grammaticality and meaning ...those models to different text gen- res and ...
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Task-based Example Miner for Intelligent Tutoring Systems
... are driven by similarity functions such as Euclidean distance (Pang-Ning et ...of data attributes used such as continuous, categorical and ...Continuous data attributes are those that can be measured ...
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Prototype Driven Learning for Sequence Models
... We investigate prototype-driven learning for pri- marily unsupervised sequence modeling. Prior knowledge is specified declaratively, by provid- ing a few canonical examples of each target an- notation label. This ...
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The Neutrophil's Eye-View: Inference and Visualisation of the Chemoattractant Field Driving Cell Chemotaxis In Vivo
... resulting data provide novel insights into the in vivo characteristics of the field driving neutrophil movements, and demonstrate a powerful new technique for estimating and visualising the chemoattractant ...
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Engineering Design Driven by Models and Measures:
... - the remaining resins have similar behaviour with a slight preference for isonepentilic resin. Diagram and standard limits for: a) tensile tests; b) flexural tests; c) interlaminar shea[r] ...
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