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Hits 101 – 107 of 107

101
Biologically-Motivated Machine Learning of Natural Language and Ontology A Computational Cognitive Model
In: http://david.wardpowers.info/Research/AI/papers/200502-MMUI-BioMotMLNLO.pdf
Abstract: The individual cognitive science disciplines all have contributions to make to the understanding and modelling of human learning. Our previous research has explored unsupervised learning of phonology, morphology and low-level syntax, as well as basic noun, verb and preposition ontology and semantics, plus musical and speech prosody. Successful applications using a mix of supervised and unsupervised techniques include speech control of equipment, deep web search, confused word spelling correction, multi-lingual semantic models and audio-visual speech recognition. Our current research is focused on doing simultaneous learning of ontology, syntax and semantics by embedding the learner in realistic situations and by developing lowlevel biologically-plausible models of perceptual and cognitive processing.
Keyword: Cognitive Linguistics; Computational Linguistics; Data Fusion; Neural Nets; Neurological Models; Ontogenesis; Ontology; Sensor Fusion; Stereognosis; Stereology; Stereophony; Stereopsis; Stereosemy
URL: http://david.wardpowers.info/Research/AI/papers/200502-MMUI-BioMotMLNLO.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.214.8581
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102
92 Advances in Dynamic-Static Integration of Movement and Handshape Cues for Sign Language Recognition
In: http://cvsp.cs.ntua.gr/publications/confr/TheodorakisPitsikalisMaragos_AdvancesDynamicStaticIntegrationManualCuesSignLanguageRecognition_GW2011.pdf
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103
and
In: http://www.cs.uga.edu/%7Ebudak/papers/coi.pdf
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104
Query clustering and IR system detection. Experiments on TREC data
In: http://riao.free.fr/papers/49.pdf
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105
UniNE at CLEF 2012
In: http://www.clef-initiative.eu/documents/71612/901619ab-eeeb-46ad-9188-933ed11a1641/
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106
DCU and UTA at ImageCLEFPhoto 2007
In: http://www.clef-campaign.org/2007/working_notes/JarvelinCLEF2007.pdf
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107
Mobile eHealth platform for home monitoring of bipolar disorder
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