[PDF] Top 20 A Deep Learning Based Approach to Transliteration
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A Deep Learning Based Approach to Transliteration
... chine transliteration which is extremely important for natural language process- ing (NLP) ...network based deep learning architec- tures for the transliteration of named en- ...Our ... See full document
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Prediction of a Movie’s Success From Plot Summaries Using Deep Learning Models
... As the size of investment for movie produc- tion grows bigger, the need for predicting a movie’s success in early stages has increased. To address this need, various approaches have been proposed, mostly relying on movie ... See full document
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Deep Tweets Analyzer Model for Twitter Mood Visualization and Prediction Based Deep Learning Approach
... a Deep Learning framework for Twitter opinion mining prediction and classification ...the Deep Learning model for Twitter Opinion abstraction and visualization ...prediction based on ... See full document
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A Deep Learning Approach for Wi-Fi Based People Localization
... end-to-end approach where the performance of the whole system can be ...CS based approach, the output of the network for 10 signals will be ... See full document
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Learning principles of accounting in ICT-supported learning environments of Malaysian secondary schools: future-oriented approach
... contrast, deep motive (intrinsic interest and commitment to work) and surface motive (fear of failure) are concerned with the engagement of a task at hand for a more immediate ...to learning tasks so that ... See full document
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Optical Flow and Deep Learning Based Approach to Visual Odometry
... Another approach to SLAM is bundle adjustment, as demonstrated by Konolige and Agrawal ...minimalist approach resulted in quick graph solving times and large loop closure detections, in which the system ... See full document
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Arabic Financial Stock Prediction Approach Based On Deep Learning Technique
... machine learning algorithms to process raw text/sentiment representations, an additional representation layer is required, and one major method used is to represent article terms in binary terms (whether or not ... See full document
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Study on deep learning based identification of hydrometeors observed by dual polarization Doppler weather radars
... for deep learning in the field of machine learning. Deep learning, as a kind of emerging learning algorithm of multi-layer neural network, has solved the local minimum defect in ... See full document
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Learning to Find Transliteration on the Web
... for learning to find transliterations of proper nouns on the Web based on query expansion aimed at maximizing the probability of retrieving translit- erations from existing search ...involves ... See full document
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A Deep Learning Approach: Domain Adaptation for Large-Scale Sentiment Analysis
... Surge of research in sentiment classification (or sentiment analysis) has been created with the rise of social media such as blogs and social networks, reviews, ratings and recommendations are rapidly proliferating; ... See full document
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A Proposed Framework: Face Recognition With Deep Learning
... filters, deep structures, data augmentation, ReLU nonlinearity, L2 normalization and several losses on multi- stage ...fusion approach was presented using SAE to merge the extracted features from the CNNs ... See full document
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Human-level Moving Object Recognition from Traffic Video
... making. Deep learning provides us an effective way to understand big data with a ...Q-learning based moving object recognition approach, which firstly finds out moving object region and ... See full document
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A STUDY ON THE LEARNING APPROACH OF THE MALAYSIAN ADULT STUDENTS
... the learning approach of the Malaysian adult students towards their continuing ...adopt deep learning approach in their learning ...of deep learning approach ... See full document
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A Survey on Deep Learning Based IoT Approach for Precision Crop Suggestion
... selected based on the type of microcontroller and for measuring temperature and humidity there is a common sensor for measuring both these can give a relative reading about temperature and ... See full document
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Substring based unsupervised transliteration with phonetic and contextual knowledge
... unsupervised transliteration approaches: (i) lack of linguistic signals to drive the learning, and (ii) limited use of context since their model is ...supervised learning are not avail- able for ... See full document
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Recognizing Textual Entailment based on Deep Learning Approach
... that based on Knowledge Base Completion ...an approach to axiom injection, which, by not holding databases explicitly, allows handling of massive amount of knowledge without losing ... See full document
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A Deep Learning Approach to Machine Transliteration
... DBN approach differs decisively from the other statistical ap- proaches we applied to the machine transliteration task, we wanted to investigate the potential ben- efit of the diverse nature of the DBN ... See full document
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An investigation on the Vocational High School Students' Learning Approaches in Terms of Various Variables
... students’ learning attitudes and their socio-demographic features and academic ...Quantitative approach in Relational survey model was used in the ...with learning approach ...prefer ... See full document
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Ensemble Learning Approach to Improve Existing Models
... our approach in regard to accuracy com-parison the Auto MPG dataset from UCI Machine Learning repository is used and for explaning Extrapolation concept and use of Ensemble Method [10] in it Annual Rainfall ... See full document
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Advanced Machine Learning Approach: Deep Learning
... of deep learning is that the two different things are not categorized by using structured / labeled ...of deep learning neural networks sends the input (image information) through entirely ... See full document
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