SIMT: A Semantic Interest Modeling Toolkit

Author(s):  
Mohamed Amine Chatti ◽  
Fangzheng Ji ◽  
Mouadh Guesmi ◽  
Arham Muslim ◽  
Ravi Kumar Singh ◽  
...  
Keyword(s):  
2006 ◽  
Vol 16 (1) ◽  
pp. 1-25 ◽  
Author(s):  
Michael J. North ◽  
Nicholson T. Collier ◽  
Jerry R. Vos

2020 ◽  
Author(s):  
Claire Lauvernet ◽  
Céline Helbert ◽  
Bruno Sudret

<p>Significant amounts of pollutant are measured in surface water, their presence due in part to the use of pesticides in agriculture. One solution to limit pesticide transfer by surface runoff is to implement vegetative filter strips (VFS) along rivers. The sizing of these strips is a major issue, with influencing factors that include local conditions (climate, soil, etc.). The BUVARD modeling toolkit was developed to design VFSs throughout France according to these properties. This toolkit includes the numerical model VFSMOD, which quantifies dynamic effects of VFS site-specific pesticide mitigation efficiency. In this study, a metamodeling (or model dimension reduction) approach is proposed to ease the use of BUVARD and to help users design VFSs that are adapted to specific contexts. Different reduced models, or surrogates, are compared: GAM, Polynomial Chaos Expansions, Kriging, and Mixed-kriging. Mixed-kriging is a kriging method that was implemented with a covariance kernel for a mixture of qualitative and quantitative inputs. Kriging and PCE are built by couple of modalities and Mixed-kriging  and GAM are built considering mixed quantitative and qualitative variables. The metamodel is a simple way to provide a relevant first guess to help design the pollution reduction device. In addition, the surrogate model is a relevant tool to visualize the impact that lack of knowledge of some parameters of filter efficiency can have when performing risk analysis and management.</p>


Author(s):  
Denice Adkins ◽  
Jenny S. Bossaller ◽  
Heather Moulaison Sandy

How do readers describe multicultural fiction works? While in library and information science (LIS) we have the language of appeal factorsand genre trendsto describe works of fiction, these linguistic choices may not be used by readers to describe their own responses and reactions to works that provide cultural affirmation of one’s own culture or exposure to learning different cultures. In this research, text mining processes are employed to harvest reader-generated book reviews and subsequently analyze the words readers use to describe award-winning multicultural fiction on the retailer site Amazon.com. Our goal with this study is to provide LIS professionals an insight into readers’ perspectives related to multicultural fiction. We describe our methodology of engaging in topic modeling as described by Jockers and Mimno (2013) as applied to multicultural fiction reviews. First, we explore the construction and processing of a corpus of reader reviews of multicultural fiction titles, then we model topics using a topic modeling toolkit to generate topics from these reviews. Through this analysis, we determine consistent terms used to describe multicultural fiction that can be used to indicate common reader experience and identify topics. Closing discussion reflects on whether librarians can use text mining of reader reviews to enhance their reader advisory services for readers seeking books that represent multiple and/or diverse cultures.


2021 ◽  
Vol 162 (6) ◽  
pp. 295
Author(s):  
Bryson L. Cale ◽  
Michael Reefe ◽  
Peter Plavchan ◽  
Angelle Tanner ◽  
Eric Gaidos ◽  
...  

Abstract We present updated radial-velocity (RV) analyses of the AU Mic system. AU Mic is a young (22 Myr) early-M dwarf known to host two transiting planets—P b ∼ 8.46 days, R b = 4.38 − 0.18 + 0.18 R ⊕ , P c ∼ 18.86 days, R c = 3.51 − 0.16 + 0.16 R ⊕ . With visible RVs from Calar Alto high-Resolution search for M dwarfs with Exo-earths with Near-infrared and optical echelle Spectrographs (CARMENES)-VIS, CHIRON, HARPS, HIRES, Minerva-Australis, and Tillinghast Reflector Echelle Spectrograph, as well as near-infrared (NIR) RVs from CARMENES-NIR, CSHELL, IRD, iSHELL, NIRSPEC, and SPIRou, we provide a 5σ upper limit to the mass of AU Mic c of M c ≤ 20.13 M ⊕ and present a refined mass of AU Mic b of M b = 20.12 − 1.57 + 1.72 M ⊕ . Used in our analyses is a new RV modeling toolkit to exploit the wavelength dependence of stellar activity present in our RVs via wavelength-dependent Gaussian processes. By obtaining near-simultaneous visible and near-infrared RVs, we also compute the temporal evolution of RV “color” and introduce a regressional method to aid in isolating Keplerian from stellar activity signals when modeling RVs in future works. Using a multiwavelength Gaussian process model, we demonstrate the ability to recover injected planets at 5σ significance with semi-amplitudes down to ≈10 m s−1 with a known ephemeris, more than an order of magnitude below the stellar activity amplitude. However, we find that the accuracy of the recovered semi-amplitudes is ∼50% for such signals with our model.


2013 ◽  
Vol 080 (06) ◽  
Author(s):  
Mark Windschitl ◽  
Jessica Thompson
Keyword(s):  

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