Sentence examples for category template from inspiring English sources

Exact(1)

Different from this category, template matching, or matched filtering, takes advantage of predetermined events and cross-correlates them with continuous recordings to detect events with high waveform similarities14.

Similar(59)

In particular, we show the value of organizing the example data according to object category templates.

In a training-transfer paradigm designed to investigate the early stages of category learning, participants were required to classify stimuli according to the category templates presented prior to each block (Experiments 1 4).

This will let users set up email accounts, schedule events, etc. Alongside the launch, the company has unveiled 15 new category templates for niche websites focused on various verticals, such as weddings or restaurants.

To assess each chemical category, templates will be developed for recording and evaluating a) traditional toxicology data, b) alternative data, and c) robustness/confidence in read-across assessment (Schultz et al. 2015).

Categorize your template accordingly to appear within Category:Templates.

Bookmark important pages, such as wikiHow:Policy and Category:Templates.

Possible classification approaches can here be divided in two categories: template matching[25, 26] and machine learning[4, 14, 27], with hidden Markov models (HMM) being the most popular approach in, e.g., speech processing.

Its first edition took place in 1987 and aimed at developing a joint evaluation of IE. MUC's seventh edition has fostered one extra task regarding identification of relations among categories (Template Relation, TR) [73].

Recently, the Eighth Critical Assessment of Techniques for Protein Structure Prediction, 2008 (CASP8) (Moult et al., 2009) assessed state-of-the-art protein modeling techniques in two categories: template-based modeling (TBM) and template-free modeling (FM).

In the category of template free modeling, the CASP8 official assessment (Ben-David, 2009) mainly used two measures to evaluate predictors in 13 FM domains: scoring scheme A and M. Scoring scheme A indicates the total number of models with high quality (within top 3), whereas scoring scheme M highlights the number of targets, in which a group generated high quality models.

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