简介:Atacomputersoftwarecourse,theparticipantsweregivenanawkwardquestiontoanswer:“Ifyouhadjustboardedanairlineranddiscoveredthatyourteamofprogrammershadbeenresponsiblefortheflightcontrolsoftware,howmanyofyouwoulddisembarkimmediately?”
简介:Rareearthmarketsawanewroundofriseinthetraditionalstockpilepeakseasonandundertheexpectationofstatestorage.Recently,pricesofoverallrareearthproductscontinuedrisingandkeptstrong.JournalistofChinaChemicalIndustryNewsreportedonMarch20thatrareearthpricewouldenteralongperiodofupwardtendencystimulatedbythepoliciesofexporttariffcancellation,governmentstorage,resourcetaxreformandreorganizationspeed-up.Thisroundofrallywasthoughttolastforalongertimeand
简介:Toacceleratethetrainingofsupportvectordomaindescription(SVDD),confidencesupportvectordomaindescription(CSVDD)isproposedbasedontheobservationthatthedescriptionboundaryisdeterminedbyasmallsubsetoftrainingdatacalledsupportvectors.Namely,thenumberoftrainingsamplesintheuserdefinedsphereiscalculatedandtakenastheconfidencemeasure,accordingtowhichthetrainingsamplesarerankedinascendingorder.ThoseformerrankedonesareselectedastheboundarytargetsfortheSVDDtraining.SimulationsonUCIdatademonstratetheeffectivenessandsuperiorityofCSVDD:thenumberoftrainingtargetsandthetrainingtimearereducedwithoutanylossofaccuracy.
简介:GPS运动学的搬运人阶段大小能被用来决定七个尺寸状态和一个动的搬运人的三个态度参数,例如一架飞机或一只lowearth轨道太空船,一条天线在上被安装收到GPS信号。自从1994,在动的环境的GPS搬运人阶段大小为点高度为二个维的位置和卤18.1cm获得了卤7.9cm的外部精确性,这在中国从摄影测量学的在空中的GPS测试结果被知道。这份报纸与multireference车站描述在空中的GPS搬运人阶段大小并且讨论怎么评估GPS运动学的数据的信心。
简介:Thispaperstudiesastochasticallyforcedchemostatmodelwithfeedbackcontrolinwhichtwoorganismscompeteforasinglegrowth-limitingsubstrate.Inthedeterministiccounterpart,previousresearchesshowthatthecoexistenceoftwocompetingorganismsmaybeachievedasastablepositiveequilibriumorastablepositiveperiodicsolutionbydierentfeedbackschedules.Inthestochasticcase,basedonthestochasticsensitivityfunctiontechnique,weconstructtheconfidencedomainsfordierentfeedbackscheduleswhichallowustofindtheconfigurationalarrangementsofthestochasticattractorsandanalyzethedispersionoftherandomstatesofthestochasticmodel.
简介:1.IntroductionThemethodoflikelihoodintroducedbyFisheriscertainlyoneofthemostcommonlyusedtechniquesforparametricmodels.Recentlythelikelihoodhasalsobeenshowntobeveryusefulinnonparametriccontexts.O...II--31hasintroducedempiricallikelihoodratiostatistics...
简介:ThispaperconstructsasetofconfidenceregionsofparametersintermsofstatisticalcurvaturesforAR(q)nonlinearregressionmodels.Thegeometricframeworksareproposedforthemodel.Thenseveralconfidenceregionsforparametersandparametersubsetsintermsofstatisticalcurvaturesaregivenbasedonthelikelihoodratiostatisticsandscorestatistics.Severalpreviousresults,,suchas[1]and[2]areextendedtoAR(q)nonlinearregressionmodels.