定价:USD 84.99 装帧:Hardcover ISBN:9780521518147 豆瓣评分 9.5 107人评价 5星 72.9% 4星 25.2% 3星 1.9% 2星 0.0% 1星 0.0% 评价: 写笔记 写书评 加入购书单 分享到 推荐 内容简介· ··· Machine learning methods extract value from vast data sets quickly and with modest resources. They are es...
ReasoningandMachineLearning, Ifyouarescouringforanexploratorytextinprobabilistic reasoning,basicgraphconcepts,beliefnetworks, graphicalmodels,statisticsformachinelearning,learning inference,naïveBayes,Markovmodelsandmachine learningconcepts,looknofurther.Barberhasdonea ...
Bayesian Machine Learning : Graphical Models and Approximate InferenceSeeger, Matthias
Approximate Bayesian inferencemachine learningMachine learning is a scientific discipline that concerned with designing algorithms to automatically learn complex patterns based on data. Many of the machine learning methods rely on probabilistic models and treat the models in a Bayesian framework. Sampling ...
精确推理(Exact Inference):对于小规模的贝叶斯网络,可以使用精确推理方法,如枚举法或动态规划,精确地计算出目标变量的后验概率分布。 近似推理(Approximate Inference):对于大规模的贝叶斯网络,精确推理可能变得困难,可以采用一些近似推理方法,如变分推断或马尔可夫链蒙特卡洛法(MCMC),来近似计算目标变量的后验概率分布。
pythonstatistical-analysisprobabilistic-programmingbayesian-inferencemcmcvariational-inferencepytensor UpdatedApr 8, 2025 Python pyro-ppl/pyro Star8.7k Deep universal probabilistic programming with Python and PyTorch pythonmachine-learningdeep-learningpytorchprobabilistic-programmingbayesianbayesian-inferencevariational-inf...
PPO as variational-inference 从这里我们可以看到,PPO是P(O=1)的变分近似。而通过下面的式子: PPO as reverse-kl PPO可以看作关于policy和optimal-policy 的reverse kl-divergence: reverse-kl reverse-kl具有mode-seeking-Behaviour(KL Divergence for Machine Learning)即 reverse-kl mode-seeking 即使我们具有prefec...
5: Efficient Inference in Trees 6: The Junction Tree Algorithm 7: Making Decisions 8: Statistics for Machine Learning 9: Learning as Inference 10: Naive Bayes 11: Learning with Hidden Variables 12: Bayesian Model Selection 13: Machine Learning Concepts 14: Nearest Neighbour Classification 15...
C (2023) 83:352 https://doi.org/10.1140/epjc/s10052-023-11509-8 Regular Article - Experimental Physics Bayesian inference of high-purity germanium detector impurities based on capacitance measurements and machine-learning accelerated capacitance calculations I. Abt, C. Gooch, F. Hagemann, L. ...
You might find these chapters and articles relevant to this topic. Chapter Machine Learning in Geosciences Advances in Geophysics Book series2020, Advances in Geophysics Zhilong Fang, ... Laurent Demanet Explore book 2.1 Bayesian inference The Bayesian inference method is a widely used approach to ...