Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 1608 for “"Training of."”.
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Professional education and training of valuers
… document entitled Professional Education and Training of Valuers is submitted for the award of Doctor of Philosophy by publication and comprises an overview based on twenty publications by the candidate and the research which underpins those publications.<br/><br/>The …
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Education and Training of Valuers in Europe
The education and training required of valuers in the U.K. is investigated and compared with that required in France, in the light of the European Council's Directive on a general system for the recognition of higher-education diplomas awarded on completion of professional education and training of …
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Large-scale training of deep neural networks
Accelerating and scaling the training of deep neural networks (DNNs) is critical to keep up with growing datasets, reduce training times, and enable training on memory-constrained problems where parallelism is necessary. In this thesis, I present a set of techniques that can leverage large …
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Greedy layerwise training of convolutional neural networks
Layerwise training presents an alternative approach to end-to-end back-propagation for training deep convolutional neural networks. Although previous work was unsuccessful in demonstrating the viability of layerwise training, especially on large-scale datasets such as ImageNet, recent work has …
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Crowd-supervised training of spoken language systems
Spoken language systems are often deployed with static speech recognizers. Only rarely are parameters in the underlying language, lexical, or acoustic models updated on-the-fly. In the few instances where parameters are learned in an online fashion, developers traditionally resort to unsupervised …
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EFFECTIVE TRAINING OF NEURAL NETWORKS FOR BETTER GENERALIZATION
… learning has achieved remarkable success, yet training deep neural networks remains costly, unstable, and poorly understood in terms of generalization. This thesis aims to make training more efficient and generalization-aware, addressing from optimization and data perspectives. From the …
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The planning, monitoring and training of elite weightlifting
The journey of Olympic success can be attributed to the appropriate planning and monitoring of key information which can help inform the training process. Weightlifting has been studied over multiple decades, with the most prominent research coming from the Soviet Union in the 1980’s. Since then, …
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Utilization of Professional Training of High School Teachers
… in DSpace on 2014-12-08T21:23:16Z (GMT). No. of bitstreams: 1 6500912.pdf: 3288356 bytes, checksum: e8259395debee8dfd4a762038f8ae385 (MD5) Previous issue date: 1964
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Operant training of originality in hospitalized adult mental patients
The thesis is a report of a pilot study in the general research area of behavioral originality. In the study operant techniques were used to train originality in hospitalized mentally ill or mentally retarded subjects (Ss). Originality of behavior was defined in terms of the observable behavior of …
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Psychotherapy Model for the Training of Counselors in India
… the rise and are adding to the national burden of mental health care on a day-to-day basis. The demand for treatment of mental illnesses has risen considerably, though there is a shortage of mental health professionals who can deliver counseling services. The Indian government has made efforts …
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The Training of Attending and Abstracting Responses in Schizophrenics
… in DSpace on 2014-12-08T23:01:37Z (GMT). No. of bitstreams: 1 6711931.pdf: 3142441 bytes, checksum: 0e37d4e4ab3fc49a6523399dd6e75e8a (MD5) Previous issue date: 1967
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Current Practices in the Psychological Training of Elementary Teachers
… in DSpace on 2014-12-04T17:33:28Z (GMT). No. of bitstreams: 1 0020883.pdf: 4090524 bytes, checksum: 07c51c65d62a70baa8c42e78db63fbfd (MD5) Previous issue date: 1957
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Discriminative training of hidden Markov Models for gesture recognition
… to this end. Gesture recognition is a problem of modelling temporal data. Non-temporal models can be used for gesture recognition, but require that the signals be adapted to the models. For example, the requirement of fixed-length inputs for support-vector machine classification. Hidden Markov …
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Leadership and the selection and training of corporate managers
Thesis (M.S.)--Massachusetts Institute of Technology, Alfred P. Sloan School of Management, 1982.
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