DETERMINING AN OUTPUT BY AGGREGATING PARENT INSTANCES
The invention relates to a computer-implemented method (600) of training a function for use in controlling or monitoring a physical system operating in an environment. The function maps an input instance comprising sensor measurements to an output signal. The function is parameterized by a set of pa...
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creator | Shi, Xiahan Schiegg, Martin |
description | The invention relates to a computer-implemented method (600) of training a function for use in controlling or monitoring a physical system operating in an environment. The function maps an input instance comprising sensor measurements to an output signal. The function is parameterized by a set of parameters including representations of multiple reference instances. Given a training input instance, a number of reference instances are identified as being similar to the training input instance, and their representations and/or output signals are aggregated into an aggregate latent representation for the training input instance. Based on this aggregate latent representation, an output signal for the training input instance is determined, which is compared to a training output signal to derive a training signal. At least a representation of a reference instance is adjusted according to the training signal, obtaining a reference instance not comprised in the training dataset. |
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The function maps an input instance comprising sensor measurements to an output signal. The function is parameterized by a set of parameters including representations of multiple reference instances. Given a training input instance, a number of reference instances are identified as being similar to the training input instance, and their representations and/or output signals are aggregated into an aggregate latent representation for the training input instance. Based on this aggregate latent representation, an output signal for the training input instance is determined, which is compared to a training output signal to derive a training signal. 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The function maps an input instance comprising sensor measurements to an output signal. The function is parameterized by a set of parameters including representations of multiple reference instances. Given a training input instance, a number of reference instances are identified as being similar to the training input instance, and their representations and/or output signals are aggregated into an aggregate latent representation for the training input instance. Based on this aggregate latent representation, an output signal for the training input instance is determined, which is compared to a training output signal to derive a training signal. 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The function maps an input instance comprising sensor measurements to an output signal. The function is parameterized by a set of parameters including representations of multiple reference instances. Given a training input instance, a number of reference instances are identified as being similar to the training input instance, and their representations and/or output signals are aggregated into an aggregate latent representation for the training input instance. Based on this aggregate latent representation, an output signal for the training input instance is determined, which is compared to a training output signal to derive a training signal. At least a representation of a reference instance is adjusted according to the training signal, obtaining a reference instance not comprised in the training dataset.</abstract><oa>free_for_read</oa></addata></record> |
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language | eng ; fre ; ger |
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subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING PHYSICS |
title | DETERMINING AN OUTPUT BY AGGREGATING PARENT INSTANCES |
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