Sentence examples for model for recognizing from inspiring English sources

L. Du et al. [17] apply the statistical model for recognizing the radar HRRP.

In this paper, we propose a hybrid deep neural network model for recognizing human actions in videos.

While having a highly specialized and performance-tuned model for recognizing a particular function is extremely valuable, it is becoming increasingly important to have wide coverage of protein function space.

They further indicate the usefulness of spatially explicit individual-based simulation models for recognizing consistent patterns that emerge, despite uncertainty regarding animals' movement behavior.

Finkel & Manning [18] proposed a model specifically for recognizing nested named entities by using a discriminative constituency parser.

These include the renowned and ground-breaking science community policy nexus (e.g., Brundtland 1997; Lemos et al. 2007), a largely conceptual model useful for recognizing omissions in analyses and motivating interdisciplinarity, but not necessarily one that provides a framework suitable for research and analysis.

In ongoing work, the model will be introduced for recognizing nested CEMs.

We evaluate our models on two datasets for recognizing regular and irregular biomedical entities.