Exact(1)
"It's generally agreed that, in order to generalize across tasks, a program should be capable of compositional learning, that is, of storing and re-combining solutions to sub-problems across tasks," the team adds.
Similar(59)
This paper introduces an enhancement to DeSTIN – a compositional deep learning architecture in which each layer consists of multiple instantiations of a common node – that learns to represent spatiotemporal patterns in data based on a novel recurrent clustering algorithm.
Often, however, composers in this group fell back on two sources musical clichés and mannerisms handed down from The Five, and academic compositional techniques learned at the Conservatory.
This includes perceiving the relationships between a theme and its variations, perceiving musical tensions and relaxations, generating musical expectancies, integrating local structures in large-scale structures, learning new compositional systems and responding to music in an emotional (affective) way.
This came at the right time: it provided a personal path beyond the brilliant and influential compositional techniques I learned from the music of Morton Feldman, Brian Ferneyhough, Debussy and others.
Briefly put, we generated "what is" questions to have students learn compositional relations between an event and its subevents.
TWIG ("Transportable Word Intension Generator") is a system that allows a robot to learn compositional meanings for new words that are grounded in its sensory capabilities.
In 2012 Socher et al. [40] propose a model for semantic compositionality with the ability to learn compositional vector representation for sentences of arbitrary length.
These efforts can be complemented using machine learning techniques trained on compositional properties in the identification of novel adhesins because in principle, this approach allows development of a non-homology composition based method.
We will use the representation learning techniques including word embeddings and compositional vector models, and apply a back-propagation algorithm based on gradient descent to learn the model.
Carter et al. [19], by using a machine learning approach based on differences in compositional and structural parameters present in known RNAs compared to non-coding sequences, achieved an improvement in RNA genes identification in bacterial and archaeal genomes.
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