general machine learning approach
A machine learning approach
... existing machine learning techniques that are presently available, this study focuses on genetic programming for several ...the General Data Protection Regulation, which forbids the use of solely ...
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A General Guide to Applying Machine Learning to Computer Architecture
... of machine learning to the field of computer architecture is currently in its inceptive stages with the few exploratory studies showing impressive ...applying machine/deep learning to CPU ...
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Instant Answering By Machine Learning Approach
... Albeit therapeutic ideas are characterized as restorative domain specific thing phrases, we can't guarantee that they are institutionalized phrasings. Take "conception prevention" as an illustration, it is ...
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A Machine Learning Approach to Predicting the Employability of a Graduate
... research approach is to investigate numerous machine learning algorithms across different domains that could be applicable to a case of binary ...of machine learning models and ...
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A Machine Learning approach to Febrile Classification
... General health screening is needed to decrease the risk of pandemic in high volume areas. Thermal characterization, via infrared imaging, is an effective technique for fever detection, however, strict use ...
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Machine learning approach for flood risks prediction
... namely general Bayesian Networks, naive Bayes and Tree Augmented Naive Bayes to predict the flood risks in Kuala Krai, Kelantan, Malaysia for 5- ...that general Bayesian Networks successfully outperformed ...
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Machine learning a general purpose interatomic potential for silicon
... When first encountering the ML potential approach, one might wonder why such high-dimensional fits work at all, given that it is impractical to thoroughly sample the full space (e.g., on a grid). It is an ...
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A Machine Learning Approach to Predict Loan Default.
... SMOTE is a common method of over-sampling. Instead of duplicating records, the algorithm creates records that are synthetic to append to the minority class. Synthetic records are created by looking along the line ...
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A machine-learning approach to predict postprandial hypoglycemia
... As a method for predicting a glucose level or the occurrence of the hypoglycemia, a physiological pre- diction method, a data-driven method, and a hybrid method were proposed [15, 16]. Among them, many data-driven models ...
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A Deep Learning Approach to Machine Transliteration
... for machine translation (Asunci´on Casta˜no et ...In general, when training a neural network, one has to choose the structure of the neural network which involves certain ...
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Machine Learning Approach for Classifying Malicious URLs
... IJEDR1604091 International Journal of Engineering Development and Research (www.ijedr.org) 623 one of the competent mechanisms for cyber convicts to allocate malicious code. In designated, attackers in general use ...
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Classifying Ellipsis in Dialogue: A Machine Learning Approach
... We formulate our typing constraints as Horn clauses to achieve the most general and declar- ative expression of these conditions. The an- tecedent of a constraint uses predicates corre- sponding to dialogue ...
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A Machine Learning Approach to Nonlinear Modal Analysis
... at the same time. There is no general principle for reconstruction from these modes although Rosenberg did give special cases where it was possible. He required that the definition reduced to the correct one for ...
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Machine learning approach for detection of nonTor traffic
... In general IDS can be categorised into two components, based on the detection ...detection approach where the network traffic is monitored and compared against database rules or signature of known anomaly ...
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A Machine Learning Approach to Clinical Terms Normalization
... and machine learning approach to bio-medical terms normal- ...in general. Our approach neither requires any additional resource like acronyms/abbreviations, alias and synonyms lists nor ...
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Machine Learning Approach For Spam Tweets Detection
... In 2014, Nathan Aston et al. analysed the huge increase in popularity of twitter in recent years, the ability to draw information regarding public sentiment from twitter data has become an area of immense interest. ...
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Drug-drug interactions: A machine learning approach
... network approach provides a semantic way to organize and analyze enormous databases and also warrants the visualization of nodes in the network whereby a node could serve as an abstract representation of either a ...
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A Machine Learning Approach: SVM for Image Classification in CBIR
... SVM was first proposed by Vapnik and is gaining popularity in field of machine learning due to many attractive features and to show practical performance [2]. It gives higher better performance in ...
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A Machine Learning Approach to Shipment Consolidation
... current approach and proposed several improvement techniques in order to reduce the costs of ...in general, and clustering in ...current approach had to be calculated and ...examining machine ...
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A Machine Learning Approach for Phenotype Name Recognition
... Named Entity Recognition and Classification in the biomedical domain has been extensively studied. As a consequence, many methods have been proposed. Generic methods, like MetaMap (Aronson, 2001) and mgrep (Dai et al., ...
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