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GRACKLE: an interpretable matrix factorization approach for biomedical representation learning. [PDF]
BioinformaticsGillenwater LA, Hunter LE, Costello JC.
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A Multisource Transformer-Guided Graph Representation Learning Framework for circRNA-Disease Association Prediction. [PDF]
ACS OmegaLiang SZ, Wang L, You ZH, Yu CQ.
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FusionNet: Physics-Aware Representation Learning for Multi-Spectral and Thermal Data via Trainable Signal-Processing Priors [PDF]
Georgios Voulgaris
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Analytic geometry learning in high school and its semiotics representation in GrafEq
, 2015 Fabrício Fernando Halberstadt
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Annual Review of Neuroscience, 2021
The central theme of this review is the dynamic interaction between information selection and learning. We pose a fundamental question about this interaction: How do we learn what features of our experiences are worth learning about? In humans, this process depends on attention and memory, two cognitive functions that together constrain ...
Angela, Radulescu +2 more
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The central theme of this review is the dynamic interaction between information selection and learning. We pose a fundamental question about this interaction: How do we learn what features of our experiences are worth learning about? In humans, this process depends on attention and memory, two cognitive functions that together constrain ...
Angela, Radulescu +2 more
openaire +2 more sources
Learning structured representations
Neurocomputing, 2003Abstract SHRUTI is a connectionist model that demonstrates how a network of neuron-like elements can encode a large body of semantic, episodic, and causal knowledge, and rapidly make decisions and perform explanatory and predictive reasoning. To further ground this model in the functioning of the brain it must be shown that components of the model ...
Lokendra Shastri, Carter Wendelken
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Learning predictive representations
Neurocomputing, 2000Abstract We demonstrate by a schematic model of an unexperienced animal exploring an environment that it is possible to evolve structures for perception, representation and action simultaneously from a single criterion, namely the error in predicting future sensory inputs. In order to organize successful representations of the environment actions are
J.Michael Herrmann +2 more
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