简介：情绪分类上的State-of-the-arts研究典型地是域依赖者并且限制域。在这份报纸，我们试图减少领域相关性并且由建议一个有效多域情绪分类算法同时改进全面性能。我们的方法采用多重分类器联合的途径。在这条途径，我们首先与领域独立训练单个领域分类器特定的数据，然后为最后的决定联合分类器。我们的实验比两个挑选领域分类途径的证明这条途径更好表现(个别地使用训练数据)并且混合领域分类途径(都简单地联合训练数据)。特别地，有加权的和统治的分类器联合在单个领域分类上获得27.6%的平均错误减小。

简介：Ajobshopschedulingproblemwithacombinationprocessingincomplexproductionenvironmentisproposed.Basedonthedefiningof'non-elasticcombinationprocessingrelativity'and'virtualprocess',theproblemcanbesimplifiedandtransformedtoatraditionalone.Onthebasisofthedispatchingrulesselectengineandconsideredfactorsofcomplexproductionenvironment,aheuristicmethodisdesigned.ThealgorithmhasbeenappliedtoamouldenterpriseinShenzhenforhalfayear.Thepracticeshowedthatbyusingthemethodsuggestedthenumberofdelayedorderswasdecreasedabout20%andtheproductivitywasincreasedby10to20%.

简介：目标用无线传感器网络追踪在传感器之中要求有效合作到在精力消费和追踪的精确性之间的折衷。这份报纸论述用最大的可能性的评价和Kalman过滤器的联合在无线传感器网络追踪途径的一个合作目标。簇领导人把收到的非线性的距离大小变换成线性观察模型并且接近用最大的可能性的评价的变换测量噪音的协变性，然后使用Kalman递归地用变换大小更新目标状态估计的过滤器。最后，一项措施被领导人基于最大的可能性的评价的菲希尔信息矩阵使用为进一步的追踪作为新追踪簇选择最增进知识的传感器。建议合作追踪的途径的优点经由模拟结果被表明。

简介：Apioneeringself-optimizingteachingmethodinstudent-centricseminarswasintroducedinthispaper,inwhicheachstudentwillestablishpreferredengineeringdrawingprocessdirectedbyeducatorsandnecessaryprinciples.Wepresentedtheworking-memorycenteredmechanisminmentalaspecttoexplainthephenomena.Thetheoreticalmechanismisbasedonthetypicaltranslationbetweenorthographicprojectionimageandperspectiveimage.Thefirstisbondingobjectintoawholesolid.Thesecondissplicingtheselectedsurfacesofobjectsandtailoredthemtogether.Twostudygroupsweredetermined:anexperimentalgroup,whoweredirectedtocombinetheobject-basedandsurface-basedconstructionmethodsinthepresentations,andacontrolgroup,wholearnedthroughregularpresentationsmadebyanexperiencedteacherduringthesameperiod.Theresultsshowedthatasignificantenhancementinaveragescoreshasbeenachievedinthetestamongtheexperimentalgroupincomparisonwiththecontrolgroup.Thevarianceofthescoresisobviouslyreducedthroughtheself-optimizinglearningstrategy,indicatingasignificantadvantageonfillinguptheabilitygapsamongstudents.Infact,theresultsalsoindicatedthattheeducatordidkeepthelessoninhighquality.Butitisworthyofmoreattentionthatthedifferenceofmentalmanipulationhabitsbetweensomestudentsandeducatormayleadtoapolarizationinscoredistribution.Sotheseminarisapromisingmethodtohelpthestudentstocombinetheobject-basedandsurface-basedconstructionmethods.