Sentence examples for training representations from inspiring English sources

Supervision transfer enables learning of rich representations from a large labelled modality as a supervisory signal for training representations for a new unlabelled paired modality and can be used as a pre-training procedure for new modalities with limited labelled data.

The above mathematical modeling is the training representation of our proposed predictor.

here, by considering the shift between the input data source (for training the representations) and the target data source (for generalizing the representations), the problem becomes one of domain adaptation for Deep Learning in Big Data Analytics.

The consensus is built using brainstorming technology, which combines multi-objective instances of machine learning algorithm, and the data fusion of different training objects representations, in order to boost the overall prediction accuracy of conserved short sequence motifs.

Megan Chapman, a human rights lawyer, is helping the residents take the tribal leader to court; she and colleague Andrew Maki have co-founded JEI, a human rights organisation dedicated to giving paralegal training and representation to slum residents.

And in the past decade, Mr. Stingel has revisited his early training in representation with Photo Realist works: morose self-portraits, and portraits of people important to him, like his longtime dealer, Paula Cooper.

The work presented here suggests that training a representation to associate additional knowledge to that obtained from the free text alone, such as structured domain information, is beneficial to the computation of semantic similarity.

Gordon Brown bowed to intense pressure from MPs of all parties yesterday and personally intervened to cancel a proposal by the cash-strapped Ministry of Defence to impose a planned £20m cut in the Territorial Army's training budget, following representations by the former defence secretary John Reid and other senior Labour backbenchers such as Lindsay Hoyle.

Here, using ESNs, we show that training such internal representations is unnecessary to achieve levels of performance comparable to SRNs.

Our data are more consistent with the interpretation that training changed neural representations in FFA and LO that were important for the diagnosis task.

PV introduces text embedding into word2vec for training distributed text representation.