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نتیجه جستجو - Task model

تعداد مقالات یافته شده: 2
ردیف عنوان نوع
1 A deep learning based multitask model for network-wide traffic speed prediction
یک مدل چند کاره مبتنی بر یادگیری عمیق برای پیش بینی سرعت ترافیک شبکه-2019
This paper proposes a deep learning based multitask learning (MTL) model to predict network-wide traf- fic speed, and introduces two methods to improve the prediction performance. The nonlinear Granger causality analysis is used to detect the spatiotemporal causal relationship among various links so as to select the most informative features for the MTL model. Bayesian optimization is employed to tune the hyperparameters of the MTL model with limited computational costs. Numerical experiments are carried out with taxis’ GPS data in an urban road network of Changsha, China, and some conclusions are drawn as follows. The deep learning based MTL model outperforms four deep learning based single task learn- ing (STL) models (i.e., Gated Recurrent Units network, Long Short-term Memory network, Convolutional Gated Recurrent Units network and Temporal Convolutional Network) and three other classic models (i.e., Support Vector Machine, k -Nearest Neighbors and Evolving Fuzzy Neural Network). The nonlinear Granger causality test provides a reliable guide to select the informative features from network-wide links for the MTL model. Compared with two other optimization approaches (i.e., grid search and random search), Bayesian optimization yields a better tuning performance for the MTL model in the prediction accuracy under the budgeted computation cost. In summary, the deep learning based MTL model with nonlinear Granger causality analysis and Bayesian optimization promises the accurate and efficient traffic speed prediction for a large-scale network.
Keywords: Short-term traffic speed prediction | Deep learning | Multitask learning | Nonlinear Granger causality | Bayesian optimization
مقاله انگلیسی
2 Tasks Model: A tool to Study the Human Development
ابزاری برای مطالعه توسعه انسانی -2017
Different cultures have raised the development of people through their life cycle, as successions of stages, which are defined by rites of passages and tasks, which often are activities that must be met in order to access the rites, or by tasks that are accomplished and define on their own the closure or compliance with these stages. From these traditions of cultures and different approaches to research approaches in psychology and psychoanalysis the task model conceptualization is structured as a tool that facilitates the study of developmental psychology. Different approaches tasks have been proposed in various contexts for the study of development; in particular, from the study of adolescence and latency from clinical practice on the one hand; and on the other from the analysis of psycho development and research in prevention and educational contexts, from where they have documented and demonstrated applications of this model. In this paper, from the research of primary school students and the evaluation of conceptual materials on adolescence, evidence, practice and usefulness of a conceptual tasks model for development assessment arises. The existence of task structures for stages of development enables applying this knowledge to orient and optimize this development while facilitating tasks in applied areas
Keywords: Developmental psychology | Task model | adolescence | second childhood | latency
مقاله انگلیسی
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