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Machine Learning Approach

A Machine Learning Approach to Acronym Generation

A Machine Learning Approach to Acronym Generation

... a machine learning approach to acronym ...our machine learning method gives significantly bet- ter performance than that achieved by the standard heuristic rule for acronym gen- eration ...

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Identification of translationese: a machine learning approach

Identification of translationese: a machine learning approach

... a machine learning approach to the study of ...the learning system benefits from the addition of simpli- fication features to the basic translational classifier ...

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The Prevention Of Depression: A Machine Learning Approach

The Prevention Of Depression: A Machine Learning Approach

... A Machine Learning Approach Abstract Behavioral health disorders, specifically depression, are a serious health concern in the United States and ...a machine learning forecasting tool ...

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A Machine Learning Approach to Nonlinear Modal Analysis

A Machine Learning Approach to Nonlinear Modal Analysis

... ∑ j c kij z i z j + ... (20) so that the obtained u i are statistically independent i.e. are unpredictable from each other. Adopting a machine learning approach, one can learn the undetermined ...

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A Machine Learning Approach to Clinical Terms Normalization

A Machine Learning Approach to Clinical Terms Normalization

... 2 Departamento de Inform´atica en Salud, Hospital Italiano de Buenos Aires {firstname.lastname}@hospitalitaliano.org.ar Abstract We propose a machine learning approach for semantic recognition and ...

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Machine Learning Approach for Optimizing Negotiation Agents

Machine Learning Approach for Optimizing Negotiation Agents

... implement machine learning approach that allows agents to reuse their negotiation experience to improve the final outcomes of one-to-many ...Bayesian learning and evolutionary approach ...

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A Machine Learning Approach for Phenotype Name Recognition

A Machine Learning Approach for Phenotype Name Recognition

... a machine learning approach for finding phenotype names in ...a machine learning infrastructure to implement the rules found in our previously developed rule-based ...semi-supervised ...

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Classifying Ellipsis in Dialogue: A Machine Learning Approach

Classifying Ellipsis in Dialogue: A Machine Learning Approach

... a machine learning approach to bare sluice disambiguation in ...chine learning algorithms: SLIPPER, a rule-based learning algorithm, and TiMBL, a memory-based ...

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A machine learning approach

A machine learning approach

... of machine learning for improving electricity price forecasting ...proposed approach is very competitive; in fact, the LSGP outperformed all the other alternatives for the problem at hand, providing ...

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Machine Teaching -- A Machine Learning Approach to Technology Enhanced Learning

Machine Teaching -- A Machine Learning Approach to Technology Enhanced Learning

... a Machine Teaching System operates on cannot be assumed to be about the same quality dimension, with helpfulness being merely one of the choices as opposed to being the sole dimension of ...all Machine ...

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A Machine Learning Approach for the Discovery of

A Machine Learning Approach for the Discovery of

... structure for most of the full agonist trajectory, whereas in the inverse agonist bound trajectories these 440. residues are in a more disordered conformation[r] ...

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Advanced Machine Learning Approach: Deep Learning

Advanced Machine Learning Approach: Deep Learning

... deep learning is that the two different things are not categorized by using structured / labeled ...deep learning neural networks sends the input (image information) through entirely different layers of the ...

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A Machine Learning Approach to the Automatic Evaluation of Machine Translation

A Machine Learning Approach to the Automatic Evaluation of Machine Translation

... the approach Once an appropriate set of features has been selected and tools to automatically extract those features are in place, classifiers can be built and evaluated ...automated approach is essential ...

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5G Positioning: A Machine Learning Approach

5G Positioning: A Machine Learning Approach

... that machine learning methods such as neural networks and random forests have a great potential to be used for positioning of UE s in a cellular network located in an urban area, which often require ...

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A Machine Learning approach to Febrile Classification

A Machine Learning approach to Febrile Classification

... deep learning approach is a big data technique, typically created using large sample ...to approach these sample sizes was the primary motivation to use the CNN strictly as a feature extractor that ...

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A machine learning approach to geochemical mapping

A machine learning approach to geochemical mapping

... The geochemical maps for each element were produced using a quantile regression forest model 234. constructed on the full 568 sample training dataset[r] ...

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Instant Answering By Machine Learning Approach

Instant Answering By Machine Learning Approach

... SYSTEM MODEL: Indexing, putting away and amassing crosswise over claims to fame what's more, destinations. Likewise, it encourages the medicinal record recovery by means of spanning the vocabulary crevice between ...

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A Machine Learning Approach to Credit Allocation

A Machine Learning Approach to Credit Allocation

... Preface I am incredibly grateful to my advisor, Stefania Albanesi, for her constant guidance and encouragement. Her mentorship, collaboration, and the credit report data she provided, made this dissertation possible. I ...

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A Machine Learning Approach to Shipment Consolidation

A Machine Learning Approach to Shipment Consolidation

... Since the problem at hand concerns a very broad topic and, thus, comes with a variety of solutions, it is difficult to find papers that collectively exhaust all these possibili- ties. Instead, shipment consolidation has ...

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Spam Detection A Machine Learning Approach

Spam Detection A Machine Learning Approach

... • Detecting bulk emails is another way to filter spam. This method uses the number of recipients to determine if an email is spam or not. However, many legitimate emails can have high traffic volumes. • Scanning message ...

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