简介:Spam,theelectronicequivalentofjunkmail,affectsover600millionusersworldwide.Themassiveincreaseofspamisposingaveryseriousthreattoemailwhichhasbecomeanimportantmeansofcommunication.Notonlydoesitannoyusers,butitalsoconsumesmuchofthebandwidthoftheInternet.Evenasanti-spamsolutionschangetolimittheamountofspamsenttousers,thesendersadapttomakesuretheirmessagesareseen,whilespamreorganizationhasdifferentpropertiescomparingwithnormaltextreorganization.Presentedarethreedifferentclassifiersarecombinedwithdetailedanalysisonvarioustrainingdatasetofthegivenspamdatabase.Theseclassifiersarecombinedintoamixtureofexperts(MOE)systemwhichyieldsoverallbetterperformancethananyoftheindividualcontributors.Theinstructionsforfurtherimprovementsonclassifiersaswellasitsrequirementonspamdatabasesarealsogiven.
简介:Thereisagrowinginterestininvestigatingtheaccuracyofdigitalelevationmodel(DEM).HoweverpeopleusuallyhaveanunbalancedviewonDEMerrors.TheyemphasizeDEMsamplingerrors,butignoretheimpactofDEMresolutionandterrainroughnessontheaccuracyofterrainrepresentation.ThisresearchputsforwardtheconceptofDEMterrainrepresentationerror(Et)andtheninvestigatesthegeneration,factors,measurementandsimulationofDEMterrainrepresentationerrors.Amulti-resolutionandmulti-reliefcomparativeapproachisusedasthemajormethodologyinthisresearch.Theexperimentrevealsaquantitativerelationshipbetweentheerrorandthevariationofresolutionandterrainroughnessatagloballevel.Rootmeansquareerror(RMSEt)isregressedagainstsurfaceprofilecurvature(V)andDEMresolution(R)at10resolutionlevels.ItisfoundthattheRMSEtmaybeexpressedasRMSEt=(0.0061·V+0.0052).R-0.022·V+0.2415.ThisresultmaybeveryusefulinforecastingDEMaccuracy,aswellasindeterminingtheDEMresolutionrelatedtotheaccuracyrequirementofparticularapplication.
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简介:VanAndelResearchInstitute(VARI)investigatorsworkingincollaborationwithClevelandClinicresearchershavedeterminedthattwotypesofkidneytumorspreviouslythoughttobedifferentdiseasesareactuallyvariationsofthesamedisease.Thisfindingwillhelpdoctorstomoreaccuratelydiagnosethediseaseinpatients,anddemonstratestheimpor-tanceofusingmoleculardatatodiagnosecanceringeneral.
简介:ThispaperdevelopsaclaseofquadratureformulawithfirstderivativesItisdemonstratedthatitsdegreeofaccuracyisnotlessthan2k+1forasetofdistinctnodes{x0,x1,...,xn}overinterval[a,b],andjustonly2k+1forequallyspacednodes.FarovercomingtheshortcomingofinvolvingagreatnumberofmanualcomputationsfortheintegrationrulesoftheHermitianinterpolationformula,somesimpleformulasforcomputingautomaticallyβi,γiandE[f]bycomputeraregiven,especiallyforequallyspacednodes.
简介:为测试作为这个区域拿中国,新卫星严肃技术的潜力,为改进地区性的重力场模型的精确性追踪的satellite-to-satellite被学习。与是的WDM94引用,三个模型,的严肃异例剩余最近二个优雅全球重力场模型(EIGEN_GRACE02S,GGM02S)并且EGM96,被计算并且比较。为在三个模型的剩余之中的差别的原因被讨论。在剩余之间的Thecomparison证明在选择区域,EIGEN_GRACE02S或GGM02S比在更低的度部分(不到110度)的EGM96好。通过模型严肃异例剩余的分析,另外,有期刊性质的一些系统的错误在EIGEN和GGM模型,的更高的度部分存在,这被发现结果能也在SST严肃数据的确认作为引用被拿。
简介:Considersolvinganoverdeterminedsystemoflinearalgebraicequationsbyboththeleastsquaresmethod(LS)andthetotalleastsquaresmethod(TLS).Extensivepublishedcomputationalevidenceshowsthatwhentheoriginalsystemisconsistent.oneoftenobtainsmoreaccuratesolutionsbyusingtheTLSmethodratherthantheLSmethod.ThesenumericalobservationscontrastwithexistinganalyticperturbationtheoriesfortheLSandTLSmethodswhichshowthattheupperboundsfortheLSsolutionarealwayssmallerthanthecorrespondingupperboundsfortheTLSsolutions.InthispaperwederiveanewupperboundfortheTLSsolutionandindicatewhentheTLSmethodcanbemoreaccuratethantheLSmethod.Manyappliedproblemsinsignalprocessingleadtooverdeterminedsystemsoflinearequationswherethematrixandrighthandsidearedeterminedbytheexperimentalobservations(usuallyintheformofalimeseries).Itoftenhappensthatasthenumberofcolumnsofthematrixbecomeslarger,thera
简介:Basedonthepreviousstudyresults,twohigheraccuracyexplicitsolutionstothedispersionequationforwavelengtharepresentedinthispaper.Thesetwosolutionshaveanaccuracyof0.1%overallwavelengths,whichissufficientlycompleteforpracticalapplication.Atthesametime,severalpreviousexplicitsolutionsalsohavebeenreviewedandcomparedherein.Incomparisonwithaccuracy,theresultsshowthatthepresenttwosolutionsareasgoodasWuandThornton’ssolution(whichhasagoodaccuracyoverallwavelengths,butitscalculationformulaissocomplexthatitishardtobeusedwithahandcalculator),andarebetterthantheothersolutions,theymayberatherusefulinpracticalcalculationwithahandcalculatororcomputer.
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简介:Thispaperintroducestwokindsofmethodswithhighaccuracyforfi-niteelementprobabilitycomputingmethod,bywhichthefunctionvalueononeorafewnodescanbecalculatedwithoutformingthetotalstiffnessmatrix.
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简介:Toanalyzetheprocessofhand-timingandtheresultingdatacollectedfromthehand-timingcomputersystem(HTCS),includingthetimingoperator′sreactiontimesofstartingandstoppingthewatch,theresultsfromthetiming,thesimulatedelectronictiming,themajorfactorthataffectsthetime-keeper′saccuracyoftime-keepingwerestudied,i.e.thestabilityofthetime-keeper′sreactiontime,ratherthanthetime-keeper′sreationtime.Theleadingcausethatinflictserrorbetweenthehand-time-keepingandtheelectrionictime-keepingconsistsinthepitfallthatthetime-keepermakesawrongjudgmentinstoppingthewatch.Theanalyticalresultsprovidetheoreticgistfortheselectionandtrainingoftime-keepingoperators.
简介:从数字举起模型(DEM)导出的Hydrologic数据在地理信息系统(GIS)的空间分析被认为是一个有效方法。然而,DEM分辨率和地面复杂性在hydrologie衍生物的精确性上有影响。在这研究,一条多决定和多消除比较级途径被用作主要方法论调查数据从DEM导出的hydrologie的精确性。实验表明那个DEM地面表示错误影响DEM水文学衍生物(排水网络和分水岭等等)的精确性。更粗糙的DEM决定能通常引起更坏的结果。然而,不明确的结果通常在这计算存在。衍生物错误能与DEM垂直分辨率和地面粗糙被发现密切相关。DEM垂直分辨率能与DEM水文学衍生物的精确性被发现密切相关,特别在光滑的平凡区域。如果吝啬的斜坡是不到4度,导出的hydrologie数据通常是不可靠的。这结果可能在估计hydrologie衍生物的精确性并且决定对一个特别用户的精确性要求适当的DEM决定是有用的。由把阀值值用于子集,更高的累积的房间流动,特定的网络密度的一个流网络能被提取。一些很重要的geomorphologie特征,例如,浅、深的溪谷,能独立借助于调整阀值价值被提取。然而,因为它是难的积累足够的流动方向价值在溪流鈥檚入口区域表示溪流隧道,处理方法的如此的流动accumulationbased不能正确地导出通过工作区域的那些溪流。因而,错误将毫无疑问发生在溪流鈥檚入口区域。另外,错误的衍生物能也在导出一些特别的河被发现,例如,栖息(挂断电话)河,吻合河和编织的河。因此,更多的工作应该被做开发并且完善算法。
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简介:降水和联系的云水疗院流星有大时间、空间的可变性,它使预报的精确量的降水困难。因此,精确降水的依赖和时间、空间的规模上的联系的云模拟成为一个重要问题。我们报导由把控制实验与实验作比较在这个问题上解决当模特儿的分析的云由起始的温度,水蒸汽,和云条件使不安。仅当不安实验和控制实验之间的root-mean-squared差别比标准差小,模拟被认为精确。分析可以建议精确降水和云模拟不能同时在两好时间、空间的规模上被获得,它限制预报的量的降水。水蒸汽集中的精确模拟能在每日的时间规模上导致精确降水和云模拟,但是它不能对降水和云模拟有益在上时时,时间由于云过程的优势可伸缩。