Sentence examples for collecting a training from inspiring English sources

This paper proposes a novel scheme of collecting a training dataset of human full-body motions and their descriptive sentences via crowdsourcing.

This simulates the process of collecting a training group to train the algorithm, and then collecting a separate patient set for testing, so it is encouraging that the performance is nearly identical to the results obtained when the entire data set was used for both training and testing.

A larcenous elephant and his diminutive passenger gambol down a high street, merrily shoplifting as they go, and collect a train of fist-waving vendors in their wake.

This paper proposes a novel concept of collecting a large training dataset of motions and their descriptive sentences, and of developing an intelligent framework learning relations between the motions and sentences.

Our goal is to learn from smaller amounts of supervised training data, by collecting a richer kind of training data: annotations with "rationales". When annotating an example, the human teacher will also highlight evidence supporting this annotation -- thereby teaching the machine learner why the example belongs to the category.

Given a set of covariance descriptors (manifold points) (mathcal {X}~=~{mathbf {X}_{i}}_{i=1}^{M}), (mathbf {X}_{i} in Sym^_{d}), extracted and collected from a training set of video activities, we aim to learn a codebook (or, a dictionary) for our BoW model.

Compliance with the specific training programs was collected via a training diary throughout the 12-month intervention.

These models are generative and used dinucleotide and pentanucleotide frequencies collected from a training set of aligned nucleosome-bound sequence to predict histone DNA interactions.

Three dictionaries were used by the dictionary-based methods: the SecTag section header terminology (the "SecTag" configuration), the section-heading names collected from a training set (the "Training" configuration), and the union of the two dictionaries (the "SecTag + Training" configuration).

I gave up after collecting on a train from Stansted airport a girl trying to explain her holiday experience to a friend, with thoughtful pauses between each phrase while she struggled to find the right shade of meaning: "I was like - I wasn't like - I was just like - oh my god".

LocateP developers emphasized their efforts by collecting an experimentally derived protein training set particularly enriched in bona fide extracellular protein signal peptides.