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检索条件"任意字段=IEE Colloquium on Neural Nets in Human-Computer Interaction"
9 条 记 录,以下是1-10 订阅
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Grounding symbols in sensorimotor categories with neural networks
Grounding symbols in sensorimotor categories with neural net...
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iee colloquium on Grounding Representations: Integration of Sensory Information in Natural Language Processing, Artificial Intelligence and neural Networks
作者: S. Harnad Cognitive Sciences Centre Department of Psychology University of Southampton Southampton UK
The symbol grounding problem is: how can you ground the meanings of symbols autonomously, i.e. without the mediation of external interpretation? One solution to the symbol grounding problem is to abandon symbol system... 详细信息
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iee colloquium on 'neural nets in human-computer interaction' (Digest No.179)
IEE Colloquium on 'Neural Nets in Human-Computer Interaction...
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iee colloquium on neural nets in human-computer interaction
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Application of neural computing techniques to learning support environments
Application of neural computing techniques to learning suppo...
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iee colloquium on neural nets in human-computer interaction
作者: L.J. Allinson N.M. Allinson Department of Psychology University of York York UK Department of Electronics University of York York UK
The application of neural network methods is demonstrated for the analysis of data obtained in a study of a hypertext system employed in computer assisted learning (CAL). The authors also discuss the future role of ne... 详细信息
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neural networks in human-computer interaction: a view of user modelling
Neural networks in human-computer interaction: a view of use...
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iee colloquium on neural nets in human-computer interaction
作者: J. Finlay R. Beale Department of Computer Science University of York York UK
neural networks have proved valuable in solving pattern recognition and classification problems. Primarily they have been successfully applied to the fields of image and speech recognition, and much research is contin... 详细信息
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HCI: a cognitive neural net prospectus
HCI: a cognitive neural net prospectus
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iee colloquium on neural nets in human-computer interaction
作者: I. Aleksander H.B. Morton C.E. Myers Department of Electrical Engineering Imperial College London London UK Department of Human Sciences Brunei University Uxbridge UK
If neural nets are to have a future, and if the notion that they succeed where conventional artificial intelligence has failed is to be substantiated, they will have to be effective in improving the human computer int... 详细信息
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Gestures and neural networks in human-computer interaction
Gestures and neural networks in human-computer interaction
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iee colloquium on neural nets in human-computer interaction
作者: R. Beale A.D.N. Edwards Dept. of Comput. Sci. York Univ. UK Department of Computer Science University of York York UK
One approach to improving human-computer communication is to copy aspects of human-human communication. Gesture is a very natural and much-used component of human-human communication but it is very imprecise. The auth... 详细信息
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Data visualisation using neural networks
Data visualisation using neural networks
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iee colloquium on neural nets in human-computer interaction
作者: D. Clayworth Neural Networks Applications Harwell Laboratory AEA Industrial Technology Didcot Oxfordshire UK
The problem of analysing a dataset which has many variables is one common to many disciplines, from sociology to molecular chemistry. Many techniques are employed in an attempt to detect patterns or trends within the ... 详细信息
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Safety critical neural computing: explanation and verification in knowledge augmented neural networks
Safety critical neural computing: explanation and verificati...
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iee colloquium on neural nets in human-computer interaction
作者: J.H. Johnson N.J. Hallam P.D. Picton Faculty of Technology Open University Milton UK
Conventional neural networks cannot contain a priori knowledge and cannot explain their output. A mathematical theory of black box classifiers is developed which covers most of the best known neural architectures. The... 详细信息
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Correcting recognition errors in handwritten, vocalised Pitman's shorthand outlines using a Boltzmann machine
Correcting recognition errors in handwritten, vocalised Pitm...
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iee colloquium on neural nets in human-computer interaction
作者: C.G. Leedham Y. Qiao Department of Electronic Systems Engineering University of Essex Colchester UK Dept. of Electron. Syst. Eng. Essex Univ. Colchester UK
Handwritten shorthand is typically 30%-50% faster than the QWERTY keyboard for recording textual information. Therefore, the automatic online recognition and transcription of Pitman's handwritten shorthand is a po... 详细信息
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