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1by Chen, Long Jiang, Liangxiao Li, Chaoqun Published in Engineering applications of artificial intelligence (01.05.2021)“...Text classification (TC) is an essential task of natural language processing (NLP). In order to improve the performance of TC, term weighting is often used to...”
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2by Nicholas C. Barberis Published in The Journal of economic perspectives (01.01.2013)“...In 1979, Daniel Kahneman and Amos Tversky, published a paper in Econometrica titled “Prospect Theory: An Analysis of Decision under Risk.” The paper presented...”
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3by Tang, Zhong Li, Wenqiang Li, Yan Zhao, Wu Li, Song Published in Knowledge-based systems (05.11.2020)“...Text representation is one kind of hot topics which support text classification (TC) tasks. It has a substantial impact on the performance of TC. Although the...”
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4by Hainmueller, Jens Published in Political analysis (20120000)“...This paper proposes entropy balancing, a data preprocessing method to achieve covariate balance in observational studies with binary treatments. Entropy...”
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5by Wei Liu Boyin Huang Peter W. Thorne Viva F. Banzon Huai-Min Zhang Eric Freeman Jay Lawrimore Thomas C. Peterson Thomas M. Smith Scott D. Woodruff Published in Journal of climate (01.02.2015)“...Described herein is the parametric and structural uncertainty quantification for the monthly Extended Reconstructed Sea Surface Temperature (ERSST) version 4...”
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6by Chen, Long Jiang, Liangxiao Li, Chaoqun Published in Expert systems with applications (15.04.2021)“...With the rapid growth of textual data on the Internet, text classification (TC) has attracted increasing attention. As a widely used text representation...”
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7“...Previous research uses negative word counts to measure the tone of a text. We show that word lists developed for other disciplines misclassify common words in...”
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8“...In this study, we propose a novel methodology to build a semantic smoothing kernel to use with Support Vector Machines (SVM) for text classification. The...”
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9“...Most of the previous studies related on different term weighting emphasize on the document-indexing-based and four fundamental information elements-based...”
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10“...The collection of Earth system models available in the archive of phase 5 of CMIP (CMIP5) represents, at least to some degree, a sample of uncertainty of...”
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12by Elizabeth A. Stuart Published in Statistical science (01.02.2010)“...When estimating causal effects using observational data, it is desirable to replicate a randomized experiment as closely as possible by obtaining treated and...”
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13by Reto Knutti Reinhard Furrer Claudia Tebaldi Jan Cermak Gerald A. Meehl Published in Journal of climate (15.05.2010)“...Recent coordinated efforts, in which numerous general circulation climate models have been run for a common set of experiments, have produced large datasets of...”
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14by Maisonnave, Mariano Delbianco, Fernando Tohmé, Fernando Maguitman, Ana Published in Information processing & management (01.05.2021)“...Topic-based retrieval is the task of seeking and retrieving material related to a topic of interest. This task involves two subtasks: selecting query terms and...”
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15“...We investigate whether individual experiences of macroeconomic shocks affect financial risk taking, as often suggested for the generation that experienced the...”
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16“...In this paper, we introduce a new measure called Term_Class relevance to compute the relevancy of a term in classifying a document into a particular class. The...”
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17“...A new framework for measuring functional diversity (FD) from multiple traits has recently been proposed. This framework was mostly limited to quantitative...”
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18“...When outcomes are missing for reasons beyond an investigator's control, there are two different ways to adjust a parameter estimate for covariates that may be...”
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19“...Information retrieval is pivotal task in any web search and navigation on World Wide Web. Therefore effective document retrieval techniques can affect not only...”
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20by Ap Dijksterhuis Loran F. Nordgren Published in Perspectives on psychological science (01.06.2006)“...We present a theory about human thought named the unconscious-thought theory (UTT). The theory is applicable to decision making, impression formation, attitude...”