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  • A Dynamic Bayesian Network Click Model.pdf ... appearing in lower positions are less likely to be clicked even if they are relevant. In this paper, we propose a Dynamic Bayesian Network which aims at providing us with unbiased estimation of the relevance from the click logs. Experiments show that the ...
  • MCMC and Applied Bayesian Statistics.pdf Markov chain Monte Carlo is a stochastic simulation technique that is very useful for computing inferential quantities. It is often used in a Bayesian context, but not restricted to a Bayesian setting.
  • Bayesian Methods for Hackers Probabilistic Programming by Camero... Bayesian Methods for Hackers_ Probabilistic Programming and Bayesian Inference by Cameron Davidson-Pilon
  • 论文研究-复Daubechies小波域HMT模型Bayesian图像去噪.pdf 提出了基于复Daubechies小波域隐马尔可夫树(SDWHMT)模型Bayesian图像去噪算法,由于SDW小波是紧支撑、对称、正交小波,且具有近似线性相位,将其与HMT模型结合,能够更加准确地刻画小波系数的统计特征,在Bayesian图像去噪中获得很好的效果,仿真实例显示了所提算法的有效性。
  • ExtremeLearningMachine资源共享-KCMAC-BYY--Kernel-CMAC-using-Bayesian... ExtremeLearningMachine资源共享-KCMAC-BYY--Kernel-CMAC-using-Bayesian-Ying-Yang-learning_2013_Neurocomputing.pdf 小弟准备学习ELM,才收集到一些相关资料,发现论坛中并无相关资料,因此把自己手头上收集到的共享给大家,希望能够帮到大家,同时也帮到自己,一起学习,一起努力!
  • Go-bayesian-Golang朴素贝叶斯分类 bayesian - Golang朴素贝叶斯分类
  • Bayesian methods for hackers.pdf Bayesian methods for hackers.pdf
  • 论文研究-一种新的基于MDL的混合Bayesian Networks学习算法 .pdf 一种新的基于MDL的混合Bayesian Networks学习算法,阎静,钟宁,近年来在人工智能领域,不确定性问题一直成为人们关注和研究的热点。贝叶斯网是用来表示不确定变量集合的联合概率分布的图形模式
  • 论文研究-Bayesian Maximum a Posterior DOA Estimation UsinBayesian Ma... 利用吉布斯采样和粒子滤波方法进行贝叶斯最大后验概率方位估计,田力伟,黄建国,贝叶斯最大后验概率方位估计方法(Bayesian maximum a posterior DOA estimator)性能优良,而且可以解相干源,尤其是在低信噪比条件下,其性能
  • Bayesian Natural Language Semantics and Pragmatics.pdf Bayesian NLI gives three departures from standard assumptions. First, it can be seen as a defence of linguistic semantics as a production system that maps meanings into forms as was assumed in generative semantics, but also in systemic grammar, functional ...