Sentence examples for a learning-based approach from inspiring English sources

The cyclic nature of integrated coastal management embodies a learning-based approach.

Dadarlat, M. C., O'Doherty, J. E. & Sabes, P. N. A learning-based approach to artificial sensory feedback leads to optimal integration.

We propose a learning-based approach, which enables each classifier to effectively adapt to the dynamic changes of resource constraints.

In this paper, we propose an adaptive video streaming system with a learning-based approach, running over SDN.

Automating this task of determining an "optimal" price (e.g., in terms of profit or revenue) with a learning-based approach can however be challenging.

These results demonstrate that a learning-based approach can be used to provide a rich artificial sensory feedback signal, suggesting a new strategy for restoring proprioception to patients using BMIs, as well as a powerful new tool for studying the adaptive mechanisms of sensory integration.

We hypothesize that a rule-based approach can complement a purely learning-based approach, since a human can combine the available features into rules using commonsense knowledge that may not be accessible to a learning algorithm.

To increase the precision, we use a machine learning-based approach formulating the relation detection as a binary classification problem: each instance (consisting of a pair of entities) is classified either as not-containing a relation or belonging to one of the four-relation classes.

In their work entitled "Supervised Learning Based Hypothesis Generation from Biomedical Literature," S. Sang et al. proposed a supervised learning-based approach to generate hypotheses from biomedical literature.

Sendek used a machine learning-based approach to survey 12,000 possible candidates and identify 21 materials that were likely to exhibit a number of important properties for solid electrolytes, including high lithium-ion conductivity.

By leveraging on product review data extracted e-commerce websites, this paper proposes a deep learning-based approach to improve the effectiveness and efficiency of mapping CNs to DPs.