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<bibitem type="J">   <ARLID>0466029</ARLID> <utime>20240103213023.5</utime><mtime>20161125235959.9</mtime>   <SCOPUS>84999098798</SCOPUS> <WOS>000388722900003</WOS>  <DOI>10.5194/gmd-9-4297-2016</DOI>           <title language="eng" primary="1">LS-APC v1.0: a tuning-free method for the linear inverse problem and its application to source-term determination</title>  <specification> <page_count>15 s.</page_count> <media_type>P</media_type> </specification>   <serial><ARLID>cav_un_epca*0362023</ARLID><ISSN>1991-959X</ISSN><title>Geoscientific Model Development</title><part_num/><part_title/><volume_id>9</volume_id><volume>11 (2016)</volume><page_num>4297-4311</page_num><publisher><place/><name>Copernicus GmbH</name><year/></publisher></serial>    <keyword>Linear inverse problem</keyword>   <keyword>Bayesian regularization</keyword>   <keyword>Source-term determination</keyword>   <keyword>Variational Bayes method</keyword>    <author primary="1"> <ARLID>cav_un_auth*0267768</ARLID> <full_dept language="cz">Adaptivní systémy</full_dept> <full_dept language="eng">Department of Adaptive Systems</full_dept> <department language="cz">AS</department> <department language="eng">AS</department> <full_dept>Department of Adaptive Systems</full_dept>  <name1>Tichý</name1> <name2>Ondřej</name2> <institution>UTIA-B</institution> <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author> <author primary="0"> <ARLID>cav_un_auth*0101207</ARLID> <full_dept language="cz">Adaptivní systémy</full_dept> <full_dept>Department of Adaptive Systems</full_dept> <department language="cz">AS</department> <department>AS</department> <full_dept>Department of Adaptive Systems</full_dept>  <name1>Šmídl</name1> <name2>Václav</name2> <institution>UTIA-B</institution> <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author> <author primary="0"> <ARLID>cav_un_auth*0228606</ARLID> <full_dept language="cz">Adaptivní systémy</full_dept> <full_dept>Department of Adaptive Systems</full_dept> <department language="cz">AS</department> <department>AS</department> <full_dept>Department of Adaptive Systems</full_dept>  <name1>Hofman</name1> <name2>Radek</name2> <institution>UTIA-B</institution> <country>CZ</country> <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author> <author primary="0"> <ARLID>cav_un_auth*0279644</ARLID> <name1>Stohl</name1> <name2>A.</name2> <country>NO</country> </author>   <source> <url>http://library.utia.cas.cz/separaty/2016/AS/tichy-0466029.pdf</url> </source>        <cas_special> <project> <ARLID>cav_un_auth*0318110</ARLID> <project_id>7F14287</project_id> <agency>GA MŠk</agency> <country>CZ</country> </project>  <abstract language="eng" primary="1">Estimation of pollutant releases into the atmosphere is an important problem in the environmental sciences. It is typically formalized as an inverse problem using a linear model that can explain observable quantities (e.g., concentrations or deposition values) as a product of the source-receptor sensitivity (SRS) matrix obtained from an atmospheric transport model multiplied by the unknown source-term vector. Since this problem is typically ill-posed, current state-of-the-art methods are based on regularization of the problem and solution of a formulated optimization problem. This procedure depends on manual settings of uncertainties that are often very poorly quantified, effectively making them tuning parameters.</abstract>     <RIV>BB</RIV>    <reportyear>2017</reportyear>      <num_of_auth>4</num_of_auth>  <unknown tag="mrcbC52"> 4 A hod 4ah 20231122142039.6 </unknown> <inst_support> RVO:67985556 </inst_support>  <permalink>http://hdl.handle.net/11104/0265404</permalink>  <cooperation> <ARLID>cav_un_auth*0336787</ARLID> <name>Norwegian Institute for Air Research</name> <institution>NILU</institution> <country>NO</country> </cooperation> <unknown tag="mrcbC64"> 1 Department of Adaptive Systems UTIA-B 10500 GEOSCIENCES, MULTIDISCIPLINARY </unknown>  <confidential>S</confidential>  <unknown tag="mrcbC86"> 2 Article Geosciences Multidisciplinary  </unknown>         <unknown tag="mrcbT16-e">GEOSCIENCES.MULTIDISCIPLINARY</unknown> <unknown tag="mrcbT16-f">5.066</unknown> <unknown tag="mrcbT16-g">0.892</unknown> <unknown tag="mrcbT16-h">3.6</unknown> <unknown tag="mrcbT16-i">0.02119</unknown> <unknown tag="mrcbT16-j">2.205</unknown> <unknown tag="mrcbT16-k">4034</unknown> <unknown tag="mrcbT16-s">2.201</unknown> <unknown tag="mrcbT16-4">Q1</unknown> <unknown tag="mrcbT16-5">3.040</unknown> <unknown tag="mrcbT16-6">222</unknown> <unknown tag="mrcbT16-7">Q1</unknown> <unknown tag="mrcbT16-B">95.838</unknown> <unknown tag="mrcbT16-C">83.8</unknown> <unknown tag="mrcbT16-D">Q1*</unknown> <unknown tag="mrcbT16-E">Q1*</unknown> <unknown tag="mrcbT16-P">83.777</unknown> <arlyear>2016</arlyear>    <unknown tag="mrcbTft">  Soubory v repozitáři: tichy-0466029.pdf </unknown>    <unknown tag="mrcbU14"> 84999098798 SCOPUS </unknown> <unknown tag="mrcbU24"> PUBMED </unknown> <unknown tag="mrcbU34"> 000388722900003 WOS </unknown> <unknown tag="mrcbU63"> cav_un_epca*0362023 Geoscientific Model Development 1991-959X 1991-9603 Roč. 9 č. 11 2016 4297 4311 Copernicus GmbH </unknown> </cas_special> </bibitem>