Sentence examples for data-driven techniques for from inspiring English sources

Her research explored data-driven techniques for predicting and optimizing performance of parallel systems including decision support databases, multicore processors and MapReduce.

In this study, data-driven techniques for forecasting short-term (24-h) G-data are adopted using 0.5 h, 1.0 h, and 24 h forecasting horizons.

I am interested in data-driven techniques for the discovery and characterization of new exoplanets.

To achieve this goal an effective data-driven technique for training neural controller is developed.

In this work we introduce a data-driven technique for partitioning the experimental time course into distinct temporal intervals with different multivariate functional connectivity patterns between a set of regions of interest (ROIs).

In this work we present a data-driven technique for computing boundary values by solving a regularized and well-posed form of the deconvolution problem on an extended domain.

Our dialogue system, based on empirical data gathered from real call-center conversations, features data-driven techniques that allow for spoken language understanding despite speech recognition errors, as well as mixed system/customer initiative and spontaneous conversation.

The DI/CD algorithm outperformed the purely data-driven techniques such as PCA for detecting and identifying known, unknown, and multiple faults using the data sets from the Tennessee Eastman process (TEP).

Her recent work analyzes the ways by which recommendation systems are algorithmically segregating cities and generating spatialized filter bubbles and the potential for data-driven techniques like location awareness and natural language processing to reveal unseen patterns in everyday social media, video, and images.

Among the different approaches existing for prognosis, data-driven techniques learn models directly from monitored operational data related to system health.

There is an inherent limitation on the ability for purely data-driven techniques to identify and diagnose faults, especially when the abnormal situations are associated with unknown faults or multiple faults.