Matches in SemOpenAlex for { <https://semopenalex.org/work/W3007669330> ?p ?o ?g. }
- W3007669330 abstract "Artificial Neural Networks (ANNs) implement a specific form of multi-variate extrapolation and will generate an output for any input pattern, even when there is no similar training pattern. Extrapolations are not necessarily to be trusted, and in order to support safety critical systems, we require such systems to give an indication of the training sample related uncertainty associated with their output. Some readers may think that this is a well known issue which is already covered by the basic principles of pattern recognition. We will explain below how this is not the case and how the conventional (Likelihood estimate of) conditional probability of classification does not correctly assess this uncertainty. We provide a discussion of the standard interpretations of this problem and show how a quantitative approach based upon long standing methods can be practically applied. The methods are illustrated on the task of early diagnosis of dementing diseases using Magnetic Resonance Imaging." @default.
- W3007669330 created "2020-03-06" @default.
- W3007669330 creator A5023195786 @default.
- W3007669330 creator A5049160991 @default.
- W3007669330 creator A5065143215 @default.
- W3007669330 creator A5075666274 @default.
- W3007669330 creator A5079619965 @default.
- W3007669330 date "2020-02-25" @default.
- W3007669330 modified "2023-09-27" @default.
- W3007669330 title "Fundamental Issues Regarding Uncertainties in Artificial Neural Networks." @default.
- W3007669330 cites W1498066347 @default.
- W3007669330 cites W1554663460 @default.
- W3007669330 cites W1557354707 @default.
- W3007669330 cites W1607280975 @default.
- W3007669330 cites W1746819321 @default.
- W3007669330 cites W1974583546 @default.
- W3007669330 cites W1980501707 @default.
- W3007669330 cites W2004955987 @default.
- W3007669330 cites W2005256561 @default.
- W3007669330 cites W2006681603 @default.
- W3007669330 cites W2021262032 @default.
- W3007669330 cites W2036972045 @default.
- W3007669330 cites W2047229728 @default.
- W3007669330 cites W2057650110 @default.
- W3007669330 cites W2062825859 @default.
- W3007669330 cites W2095705004 @default.
- W3007669330 cites W2106622844 @default.
- W3007669330 cites W2108677974 @default.
- W3007669330 cites W2117400280 @default.
- W3007669330 cites W2117962700 @default.
- W3007669330 cites W2118020555 @default.
- W3007669330 cites W2122686681 @default.
- W3007669330 cites W2123098109 @default.
- W3007669330 cites W2131401430 @default.
- W3007669330 cites W2134732652 @default.
- W3007669330 cites W2139606141 @default.
- W3007669330 cites W2142635246 @default.
- W3007669330 cites W2156220037 @default.
- W3007669330 cites W2164411961 @default.
- W3007669330 cites W2167631745 @default.
- W3007669330 cites W2170957789 @default.
- W3007669330 cites W2183716640 @default.
- W3007669330 cites W2470896286 @default.
- W3007669330 cites W2548228487 @default.
- W3007669330 cites W2600383743 @default.
- W3007669330 cites W2752013927 @default.
- W3007669330 cites W2763327666 @default.
- W3007669330 cites W2767443199 @default.
- W3007669330 cites W2792983928 @default.
- W3007669330 cites W2904185096 @default.
- W3007669330 cites W2919358988 @default.
- W3007669330 cites W2951266961 @default.
- W3007669330 cites W2964059111 @default.
- W3007669330 cites W29977228 @default.
- W3007669330 cites W3014888362 @default.
- W3007669330 cites W3125489778 @default.
- W3007669330 cites W3130896941 @default.
- W3007669330 cites W404240460 @default.
- W3007669330 cites W601603264 @default.
- W3007669330 cites W66986543 @default.
- W3007669330 cites W71499226 @default.
- W3007669330 hasPublicationYear "2020" @default.
- W3007669330 type Work @default.
- W3007669330 sameAs 3007669330 @default.
- W3007669330 citedByCount "0" @default.
- W3007669330 crossrefType "posted-content" @default.
- W3007669330 hasAuthorship W3007669330A5023195786 @default.
- W3007669330 hasAuthorship W3007669330A5049160991 @default.
- W3007669330 hasAuthorship W3007669330A5065143215 @default.
- W3007669330 hasAuthorship W3007669330A5075666274 @default.
- W3007669330 hasAuthorship W3007669330A5079619965 @default.
- W3007669330 hasConcept C105795698 @default.
- W3007669330 hasConcept C119857082 @default.
- W3007669330 hasConcept C127413603 @default.
- W3007669330 hasConcept C132459708 @default.
- W3007669330 hasConcept C154945302 @default.
- W3007669330 hasConcept C185592680 @default.
- W3007669330 hasConcept C198531522 @default.
- W3007669330 hasConcept C201995342 @default.
- W3007669330 hasConcept C2780451532 @default.
- W3007669330 hasConcept C33923547 @default.
- W3007669330 hasConcept C41008148 @default.
- W3007669330 hasConcept C43617362 @default.
- W3007669330 hasConcept C50644808 @default.
- W3007669330 hasConceptScore W3007669330C105795698 @default.
- W3007669330 hasConceptScore W3007669330C119857082 @default.
- W3007669330 hasConceptScore W3007669330C127413603 @default.
- W3007669330 hasConceptScore W3007669330C132459708 @default.
- W3007669330 hasConceptScore W3007669330C154945302 @default.
- W3007669330 hasConceptScore W3007669330C185592680 @default.
- W3007669330 hasConceptScore W3007669330C198531522 @default.
- W3007669330 hasConceptScore W3007669330C201995342 @default.
- W3007669330 hasConceptScore W3007669330C2780451532 @default.
- W3007669330 hasConceptScore W3007669330C33923547 @default.
- W3007669330 hasConceptScore W3007669330C41008148 @default.
- W3007669330 hasConceptScore W3007669330C43617362 @default.
- W3007669330 hasConceptScore W3007669330C50644808 @default.
- W3007669330 hasLocation W30076693301 @default.
- W3007669330 hasOpenAccess W3007669330 @default.
- W3007669330 hasPrimaryLocation W30076693301 @default.