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Improving the performance of the models

Improving the supply chain performance: use of forecasting models versus early order commitments

Improving the supply chain performance: use of forecasting models versus early order commitments

... chain performance: use of forecasting models versus early order commitments XIANDE ZHAOy*, JINXING XIEz and ...forecasting models and early order commit- ment in a supply chain with one capacitated ...

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Study on Solar Radiation Models in South Korea for Improving Office Building Energy Performance Analysis

Study on Solar Radiation Models in South Korea for Improving Office Building Energy Performance Analysis

... for improving building energy performance analyses using simulation ...solar models: cloud-cover radiation model (CRM), Zhang and Huang model (ZHM), and meteorological radiation model ...solar ...

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Improving Classifier Performance Assessment of Credit Scoring Models

Improving Classifier Performance Assessment of Credit Scoring Models

... classifier performance by drawing from skewed score dis- tributions and by considering low proportions of defaulters in credit ...better performance than the minimum of the PW loss ...

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A framework for improving project performance of standard design models

A framework for improving project performance of standard design models

... Of the construction management-related CSFs, the SDM project procedures suffered from lack of an organised mechanism that focused on the standardisation of material procurement and logistical procedures to facilitate ...

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Improving the performance of Hierarchical Hidden Markov Models on Information Extraction tasks

Improving the performance of Hierarchical Hidden Markov Models on Information Extraction tasks

... The reference tagging task applies two techniques to improve extraction accuracy: pattern generalisation and structure formation (as shown in Section 6.2 and Section 6.3). Pattern genera[r] ...

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Improving runoff estimates from regional climate models: a performance analysis in Spain

Improving runoff estimates from regional climate models: a performance analysis in Spain

... Considering the lack of a correctly calibrated hydrologic model in large-scale studies, monthly surface runoff series are built from RCM simulations, using the alternative that best reproduces the observed values. The ...

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Estimation in dynamic panel data models: improving on the performance of the standard GMM estimator

Estimation in dynamic panel data models: improving on the performance of the standard GMM estimator

... ri wkhvh JPP hvwlpdwruv lq g|qdplf prghov zlwk hqgrjhqrxv uhjuhvvruv1 Rxu dqdo|vlv vxjjhvwv wkdw vlplodu lvvxhv dulvh lq wklv fdvh wr wkrvh wkdw kdyh ehhq irxqg lq suhylrxv Prqwh Fduor v[r] ...

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Improving the Performance of Dynamic Electromyogram-to-Force Models for the Hand-Wrist and Multiple Fingers

Improving the Performance of Dynamic Electromyogram-to-Force Models for the Hand-Wrist and Multiple Fingers

... dynamic models (described in the next paragraph). Hence, the dynamic models optimize the final lowpass cutoff frequency (and shape) in order to minimize EMG-torque error [Koirala et ...

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Improving Resource Management in Virtualized Data Centers using Application Performance Models

Improving Resource Management in Virtualized Data Centers using Application Performance Models

... mitigate performance interference potentially caused by running several disparate VMs onto a single ...same performance as will be achieved by running the application in a dedicated ...proposed ...

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Classification and evaluation of concepts for improving the performance of applied energy system optimization models

Classification and evaluation of concepts for improving the performance of applied energy system optimization models

... vii. To easily obtain the objective value of the full-time horizon model, a final solve is executed that considers only cost relevant equations. As all variable levels are already fixed at this stage, this final solve is ...

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IMPROVING THE PERFORMANCE OF SATELLITE-TO-IRRADIANCE MODELS USING THE SATELLITE S INFRARED SENSORS

IMPROVING THE PERFORMANCE OF SATELLITE-TO-IRRADIANCE MODELS USING THE SATELLITE S INFRARED SENSORS

... Although the present limited validation is not fully independent – we used the same points to test and validate the model -- it is nevertheless a unique multi-site fit validated against multiple sites with differing ...

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Multiscale Generative Models: Improving Performance of a Generative Model Using Feedback from Other Dependent Generative Models

Multiscale Generative Models: Improving Performance of a Generative Model Using Feedback from Other Dependent Generative Models

... Our goal is to obtain a fine-grained model of the agents as well as the mixer. With sufficient data, building multiple GAN models for the mixer and every agent is not very hard. However, the data for some ...
Using weaker consistency models with monitoring and recovery for improving performance of key-value stores

Using weaker consistency models with monitoring and recovery for improving performance of key-value stores

... Duong Nguyen 1* , Aleksey Charapko 2 , Sandeep S. Kulkarni 1 and Murat Demirbas 2 Abstract Consistency properties provided by most key-value stores can be classified into sequential consistency and eventual consistency. ...

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Improving the performance of financial forecasting using different combination architectures of ARIMA and ANN models

Improving the performance of financial forecasting using different combination architectures of ARIMA and ANN models

... forecasting models that have been proposed in the literature, accurate forecasting is yet one of the major challenging problems facing decision makers in various fields, especially financial ...single ...

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Article Classification and evaluation of concepts for improving the performance of applied energy system optimization models

Article Classification and evaluation of concepts for improving the performance of applied energy system optimization models

... vii. To easily obtain the objective value of the full-time horizon model, a final solve is executed that considers only cost relevant equations. As all variable levels are already fixed at this stage, this final solve is ...

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Improving the Performance of Vegetable Leaf Wetness Duration Models in Greenhouses Using Decision Tree Learning

Improving the Performance of Vegetable Leaf Wetness Duration Models in Greenhouses Using Decision Tree Learning

... wetness models, and that this preliminary calibration is needed when applying empirical leaf wetness models in new ...wetness models, their inclusion in available models is limited to ...

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Improving sparsity in online kernel models

Improving sparsity in online kernel models

... Online kernel based methods are a very popular method for data modeling and prediction because of their simplicity and good performance on many real-world problems. Many algorithms have been inspired by the ...

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Improving Performance of Text Summarization

Improving Performance of Text Summarization

... Markov models and log-linear models are used to improve extractive summarization  Now a day’s neural networks are used to generate summary for single documents using ...

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IMPROVING THE PERFORMANCE OF THE PUBLIC SERVICE:

IMPROVING THE PERFORMANCE OF THE PUBLIC SERVICE:

... 55. The IPSP enabled provinces to revise and enhance their PGDSs. It made an important contribution to the testing of innovative models aimed at improving the accessibility of basic services, pioneering an ...

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Improving Performance

Improving Performance

... She has worked with senior global executives to design and deliver custom strategic leadership workshops where executives build new skills while solving strategic challenges. Her experience in strategic facilitation ...

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