图 书 馆开课单位--剑桥大学
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61Adaptive Sequential Bayesian Change-point Detection [自适应序贯贝叶斯变化点检测 ]
Ryan Turner(剑桥大学) Nonstationarity, or changes in the generative parameters, are often a key aspect of real world time series, which comprise of many distinct parameter ...
热度：74
Ryan Turner(剑桥大学) Nonstationarity, or changes in the generative parameters, are often a key aspect of real world time series, which comprise of many distinct parameter ...
热度：74
62Know Thy Neighbour: A Normative Theory of Synaptic Depression[认识你的邻居:突触抑郁症的规范理论]
Jean-Pascal Pfister(剑桥大学) Synapses exhibit an extraordinary degree of short-term malleability, with release probabilities and effective synaptic strengths changing markedly ove...
热度：41
Jean-Pascal Pfister(剑桥大学) Synapses exhibit an extraordinary degree of short-term malleability, with release probabilities and effective synaptic strengths changing markedly ove...
热度：41
63Nonparametric Bayesian Models in Machine Learning[机器学习中的非参数贝叶斯模型]
Zoubin Ghahramani(剑桥大学) Bayesian methods make it possible to handle uncertainty in a principled manner, sidestep the problem of overfitting, and incorporate domain knowledge....
热度：68
Zoubin Ghahramani(剑桥大学) Bayesian methods make it possible to handle uncertainty in a principled manner, sidestep the problem of overfitting, and incorporate domain knowledge....
热度：68
64Graphical models[图形模型]
Zoubin Ghahramani(剑桥大学) An introduction to directed and undirected probabilistic graphical models, including inference (belief propagation and the junction tree algorithm), p...
热度：32
Zoubin Ghahramani(剑桥大学) An introduction to directed and undirected probabilistic graphical models, including inference (belief propagation and the junction tree algorithm), p...
热度：32
65Bayesian Learning[贝叶斯学习]
Zoubin Ghahramani(剑桥大学) Bayes Rule provides a simple and powerful framework for machine learning. This tutorial will be organised as follows: 1. I will give motivation f...
热度：98
Zoubin Ghahramani(剑桥大学) Bayes Rule provides a simple and powerful framework for machine learning. This tutorial will be organised as follows: 1. I will give motivation f...
热度：98
66Neural Basis of Drug Addiction[药物成瘾的神经基础]
Barry Everitt(剑桥大学) How does someone move from recreational drug use to addiction? Barry Everitt’s group at the University of Cambridge has been trying to break dow...
热度：114
Barry Everitt(剑桥大学) How does someone move from recreational drug use to addiction? Barry Everitt’s group at the University of Cambridge has been trying to break dow...
热度：114
67Hierarchical Bayesian Models for Audio and Music Processing[音频和音乐处理的分层贝叶斯模型]
A. Taylan Cemgil(剑桥大学) In recent years, there has been an increasing interest in statistical approaches and tools from machine learning for the analysis of audio and music s...
热度：74
A. Taylan Cemgil(剑桥大学) In recent years, there has been an increasing interest in statistical approaches and tools from machine learning for the analysis of audio and music s...
热度：74
68Facebook and Privacy: The Balancing Act of Personality, Gender, and Relationship Currency[Facebook和隐私：人格、性别和关系货币的平衡行为 ]
Daniele Quercia(剑桥大学) Social media profiles are telling examples of the everyday need for disclosure and concealment. The balance between concealment and disclosure varies ...
热度：43
Daniele Quercia(剑桥大学) Social media profiles are telling examples of the everyday need for disclosure and concealment. The balance between concealment and disclosure varies ...
热度：43
69Function Factorization Using Warped Gaussian Processes[利用扭曲高斯过程的函数分解]
Mikkel N. Schmidt(剑桥大学) We introduce a new approach to non-linear regression called function factorization, that is suitable for problems where an output variable can reasona...
热度：131
Mikkel N. Schmidt(剑桥大学) We introduce a new approach to non-linear regression called function factorization, that is suitable for problems where an output variable can reasona...
热度：131
70Efficient Learning Algorithms for Changing Environments[改变环境的有效学习算法]
Comandur Seshadhri(剑桥大学) We study online learning in an oblivious changing environment. The standard measure of regret bounds the difference between the cost of the online lea...
热度：74
Comandur Seshadhri(剑桥大学) We study online learning in an oblivious changing environment. The standard measure of regret bounds the difference between the cost of the online lea...
热度：74