首页
Word 文档
实用范文
工作总结心得体会工作计划规章制度述职报告社会实践报告读后感观后感活动方案发言稿辞职报告创业计划书
求职简历
简历模板职业规划书自荐信
合同模板
合同范本劳动合同租赁合同施工合同借款合同企业经营合同转让合同离婚协议书代理合同房屋买卖合同服务合同知识产权合同采购合同承包合同招标投标
教育教学
教案课件教辅习题考试真题知识点总结
党团工作
入党申请书入团申请书思想汇报党团建设
期刊论文
工程技术医药卫生教育人文经济管理信息科技社会科学农业科学基础科学
专业资料
房产建筑设备制造标准规范其他资料
研究报告
公司研究行业研究
PPT模板
公司介绍总结汇报营销策划述职答辩自我介绍学习培训商业计划书学校教育节日热点产品介绍 PPT素材
表格模板
计划表项目表行业表格教育生活
PPT 模板
Excel 表格
百科
问答

开通VIP限时优惠

|

登录 | 注册

首页文档期刊论文信息科技

全部分类

实用范文
求职简历
合同模板
教育教学
党团工作
期刊论文
专业资料
研究报告
PPT模板
表格模板

热门标签

安全考试监理工程监理交底初中合同实施细则工程技术教师语文统一 for 资格证全国 Learning 规划普通高考英语招生范文高等学校细则解析施工模板 with 真题高中应急答案总结年全国方案公司协议工程技术 of 施工技术述职报告知识点下半年范本 and 上半年预案管理制度 PPT

下载文库宝手机APP: 分享知识传递快乐

信息科技

分类:

工程技术
医药卫生
教育人文
经济管理
信息科技
社会科学
农业科学
基础科学

类型:

不限
免费
付费
VIP专享
优质文档

综合排序
新品优先
下载量优先
人气优先

Bayesian Coreset Construction via Greedy Iterative Geodesic Ascent
BayesianCoresetConstructionviaGreedyIterativeGeodesicAscentTrevorCampbell1TamaraBroderick1Abstractstreamingvariants(Jordanetal.,1999;Wainwright&Jor-dan,2008;Hoffmanetal.,2013;Ranganathetal.,2014;Co...
2023-11-137831010.4 KB9页27
Batch Bayesian Optimization via Multi-objective Acquisition Ensemble for Automated Analog Circuit Design
BatchBayesianOptimizationviaMulti-objectiveAcquisitionEnsembleforAutomatedAnalogCircuitDesignWenlongLyu1FanYang1ChanghaoYan1DianZhou12XuanZeng1AbstractofICmanufacturetechnologyforecastedbyMoore’sl...
2023-11-131995626.25 KB9页5
Autoregressive Convolutional Neural Networks for Asynchronous Time Series
AutoregressiveConvolutionalNeuralNetworksforAsynchronousTimeSeriesMikołajBin´kowski12GautierMarti23PhilippeDonnat2Abstractneuralnetworks(CNNs),(Lecunetal.,1998)inmodelingtheconditionalmeanofthedi...
2023-11-1311563.05 MB10页14
Bandits with Delayed, Aggregated Anonymous Feedback
BanditswithDelayed,AggregatedAnonymousFeedbackCiaraPike-Burke1ShipraAgrawal2CsabaSzepesvári34SteffenGrünewälder1AbstractoftheKpossiblearms.IntheclassicstochasticMABset-ting,theplayerimmediatelyo...
2023-11-135271.8 MB9页6
Autoregressive Quantile Networks for Generative Modeling
AutoregressiveQuantileNetworksforGenerativeModelingGeorgOstrovski1WillDabney1Re´miMunos1AbstractInthispaper,wepresentanovelapproachtogenerativemod-eling,that,whilestrikinglydifferentfromexistingme...
2023-11-1319181.8 MB10页4
AutoPrognosis Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning
AutoPrognosis:AutomatedClinicalPrognosticModelingviaBayesianOptimizationwithStructuredKernelLearningAhmedM.Alaa1MihaelavanderSchaar123Abstractclinicalconditionsinordertoguidescreeningandthera-peuti...
2023-11-13788428.77 KB10页9
Automatic Goal Generation for Reinforcement Learning Agents
AutomaticGoalGenerationforReinforcementLearningAgentsCarlosFlorensa1DavidHeld2XinyangGeng1PieterAbbeel13AbstracttodefeatachampionGoplayer(Silveretal.,2016),tooutperformhumansin49Atarigames(Guoetal....
2023-11-1314896.2 MB14页1
Augmented CycleGAN Learning Many-to-Many Mappings from Unpaired Data
AugmentedCycleGAN:LearningMany-to-ManyMappingsfromUnpairedDataAmjadAlmahairi1†SaiRajeswar1AlessandroSordoni2PhilipBachman2AaronCourville13Abstract?%?$Learninginter-domainmappingsfromunpaired??...
2023-11-1311975.32 MB10页20
Augment and Reduce Stochastic Inference for Large Categorical Distributions
AugmentandReduce:StochasticInferenceforLargeCategoricalDistributionsFranciscoJ.R.Ruiz12MichalisK.Titsias3AdjiB.Dieng2DavidM.Blei2Abstractwithmanyclasses,recommendationsystemswithmanyitems,andlangua...
2023-11-131517530.27 KB10页16
Attention-based Deep Multiple Instance Learning
Attention-basedDeepMultipleInstanceLearningMaximilianIlse1JakubM.Tomczak1MaxWelling1Abstractmodelthatpredictsabaglabel,e.g.,amedicaldiagnosis.Anadditionalchallengeistodiscoverkeyinstances(Liuetal.,...
2023-11-1319412.22 MB10页5
Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization
AsynchronousStochasticQuasi-NewtonMCMCforNon-ConvexOptimizationUmutS¸ims¸ekli1C¸ag˘atayYıldız2ThanhHuyNguyen1Gae¨lRichard1A.TaylanCemgil3AbstractwhereUisatwicecontinuouslydifferentiablefunct...
2023-11-1311061.55 MB10页7
Asynchronous Decentralized Parallel Stochastic Gradient Descent
AsynchronousDecentralizedParallelStochasticGradientDescentXiangruLian1WeiZhang2CeZhang3JiLiu41AbstractFigure1.Centralizednetworkanddecentralizednetwork.MostcommonlyuseddistributedmachinelearningS-P...
2023-11-1313434.29 MB10页12
Asynchronous Byzantine Machine Learning (the case of SGD)
AsynchronousByzantineMachineLearning(thecaseofSGD)GeorgiosDamaskinos1ElMahdiElMhamdi1RachidGuerraoui1RhicheekPatra1MahsaTaziki1Abstract1.IntroductionAsynchronousdistributedmachinelearningso-Tokeepu...
2023-11-131114612.76 KB10页5
Approximation Guarantees for Adaptive Sampling
ApproximationGuaranteesforAdaptiveSamplingEricBalkanski1YaronSinger1Abstractandclusteringaresubmodularfunctions.Forthecanonicalproblemofmaximizinganon-decreasingsubmodularfunc-Inthispaperweanalyzea...
2023-11-1319941.71 MB10页4
Approximation Algorithms for Cascading Prediction Models
ApproximationAlgorithmsforCascadingPredictionModelsMatthewStreeter1Abstractwithstate-of-the-artaccuracy.Forexample,themostac-curateNasNetmodelachieves82.7%accuracyonIma-Wepresentanapproximationalgo...
2023-11-131969365.26 KB9页25
Approximate message passing for amplitude based optimization
ApproximatemessagepassingforamplitudebasedoptimizationJunjieMa1JiXu2ArianMaleki3AbstractPhaseCut(Waldspurgeretal.,2015),arebasedonsemidef-initerelaxations.ForrandomGaussianmeasurements,aWeconsidera...
2023-11-131722561.29 KB10页10
Approximate Leave-One-Out for Fast Parameter Tuning in High Dimensions
ApproximateLeave-One-OutforFastParameterTuninginHighDimensionsShuaiwenWang1WendaZhou1HaihaoLu2ArianMaleki1VahabMirrokni3Abstractschemes,especiallyinhigh-dimensionalsettings,studiesthefollowingoptim...
2023-11-1312944.08 MB10页24
Anonymous Walk Embeddings
AnonymousWalkEmbeddingsSergeyIvanov12EvgenyBurnaev1Abstractratherthangraphstructures.Ideally,apractitionerwouldliketohaveapolynomial-timealgorithmthatcanconvertThetaskofrepresentingentiregraphshass...
2023-11-131719545.73 KB10页23
Analyzing Uncertainty in Neural Machine Translation
AnalyzingUncertaintyinNeuralMachineTranslationMyleOtt1MichaelAuli1DavidGrangier1Marc’AurelioRanzato1Abstractpublicbenchmarks.However,severalopenquestionsre-main(Koehn&Knowles,2017).Inthiswork,wean...
2023-11-136781.88 MB10页28
Analysis of Minimax Error Rate for Crowdsourcing and Its Application to Worker Clustering Model
AnalysisofMinimaxErrorRateforCrowdsourcingandItsApplicationtoWorkerClusteringModelHideakiImamura12IsseiSato12MasashiSugiyama21Abstractsolvethisproblembyprovidingredundancyforlabeling,i.e.,bycollect...
2023-11-1314356.34 MB10页14

首页上页 176 177 178 179 180 下页尾页

确认删除?

取消确定

关于我们隐私协议联系我们用户协议免责声明版权申明侵权处理网站地图

文库宝定位于知识共享平台，用户可以上传优质的文档内容，提供知识服务，本平台仅提供宣传推广、内容分发等工作，为更多的知识创作者创造价值
文库宝严格对内容的质量进行把关，为了能够健康、平衡的发展。如果您的权利被侵害，请联系我们的客服进行举报
客服QQ：394890686 欢迎举报

微信公众号

Copyright © 2024 文库宝 All Rights Reserved

湘ICP备18007429号-5

湘ICP备18007429号-5

VIP会员服务
限时5折优惠