Data and Data Selection
A. Data Selection
... Abstract—The issue of modelling and forecasting the share prices of the banking sector remains a challenge because of high volatilities in individual stock prices. Reliably forecasting the future values of shares is ...
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Data source Data Selection Data Cleaning
... e Data mining is concerned with the process of computationally extracting hidden knowledge structures represented in models and patterns from large data ...in data. According to this definition, ...
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Integrating Data Selection and Extreme Learning Machine for Imbalanced Data
... imbalanced data problem. So, for imbalanced data problem needs special treatment, because characteristics of the imbalanced data can decrease the accuracy of the data ...imbalanced data ...
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Submodularity for Data Selection in Machine Translation
... SMT data subset selection, generalizing previous approaches to this ...used data selection methods on two different trans- lation ...training data that covers the set of syn- tactic ...
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Parallel Data Selection Based on Neurodynamic Optimization in the Era of Big Data
... Parallel Data Selection Based on Neurodynamic Optimization.. in the Era of Big Data.[r] ...
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Dynamically Composing Domain Data Selection with Clean Data Selection by “Co Curricular Learning” for Neural Machine Translation
... domain-data selection work better on noisy data, by dynamically composing it with clean-data ...constituent selection and their static combi- ...
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Denoising Neural Machine Translation Training with Trusted Data and Online Data Selection
... is data selection for machine ...of data is based on cross entropy difference (CED) between an in-domain and an out-of-domain language ...ing data with CED according to an in-domain LM and a ...
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Reinforced Training Data Selection for Domain Adaptation
... source data from the last selection step, then data instances are selected according to the vector and new reward is gener- ated for next round of data ...source data and the guidance ...
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DataSlicer: Enabling Data Selection for Visual Data Exploration
... a data-slice graph con- structed using expert sequences, we refer to this mode of op- eration as “prediction mode,” and to the system as a “prediction ...the data set, and nodes and edges generated in the ...
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1. Introduction Literature review Data and Methodology Data selection Methodology... 9
... Transaction costs and taxes are higher for a DoD portfolio, the portfolio is less diversified, the AEX is value weighted, market overreaction could cause a winner-loser effect accordin[r] ...
Data Selection With Fewer Words
... improves data selection by combining a hybrid word/part-of-speech representation for corpora, with the idea of distinguishing between rare and frequent ...using data selection for machine ...
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Effective Selection of Translation Model Training Data
... named Data Selec- tion. Current data selection methods mostly use language models trained on small scale in- domain data to measure domain relevance and select domain-relevant parallel ...
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Data point selection for genre aware parsing
... Table 5 gives an overview over the different settings and features used for data selection. 3.5 Selecting the training sets For our different settings, we select training data from the pool as ...
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Data Selection for IT Texts using Paragraph Vector
... { mduma, menzel } @informatik.uni-hamburg.de Abstract This paper presents an overview of the sys- tem submitted by the University of Ham- burg to the IT domain shared translation task as part of the ACL 2016 First Con- ...
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On improving the selection of Thellier-type paleointensity data
... The selection of paleointensity data is a challenging, but essential step for establishing data ...paleointensity data and which data selection processes are most ...the ...
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Algorithm selection on data streams
... The goal is to predict which algorithm performs best, measured over the whole data stream. In order to obtain deeper insight into what kind of tar- gets we can predict, we also defined three sub tasks, i.e., ...
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A Selection of Research Data Management Tools Throughout the Data Lifecycle
... model data interchange on the ...of data. A significant advantage of RDF over other data formats resides in its interoperablity capabilities with other datasources, allowing to extend analyses beyond ...
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Data Visualization and Feature Selection: New Algorithms for Nongaussian Data
... The new variable selection method is found to be better in eliminating redundancy in the inputs than other methods based on simple mutual information.. The efficacy of the met[r] ...
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Techniques for data pattern selection and abstraction
... Another algorithm, called Fast Condensed Nearest Neighbour, was recently proposed in [Ang07a], which discards redundant and harmful instances to largely reduce the size of the training set X. FCNN uses a subset S, which ...
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Data selection in EEG signals classification
... The classification accuracy of the proposed PCA-GE method. 527[r] ...
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