图 书 馆开课单位--伦敦大学学院
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21Multiple Kernel Learning on the Limit Order Book[极限订单上的多内核学习]
Tristan Fletcher(伦敦大学学院) Simple features constructed from order book data for the EURUSD currency pair were used to construct a set of kernels. These kernels were used both in...
热度：45
Tristan Fletcher(伦敦大学学院) Simple features constructed from order book data for the EURUSD currency pair were used to construct a set of kernels. These kernels were used both in...
热度：45
22Bridging Human and Machine Learning: Using discrete Markov Chain Monte Carlo with People to explore human categories[桥接人与机器学习：使用离散马尔可夫链蒙特卡罗与人类来探索人类]
Anne Hsu(伦敦大学学院) Bridging Human and Machine Learning: Using discrete Markov Chain Monte Carlo with People to explore human categories
热度：58
Anne Hsu(伦敦大学学院) Bridging Human and Machine Learning: Using discrete Markov Chain Monte Carlo with People to explore human categories
热度：58
23Data-Dependent Geometries and Structures: Analyses and Algorithms for Machine Learning[与数据相关的几何和结构：机器学习的分析和算法]
Mark Herbster(伦敦大学学院) Data-Dependent Geometries and Structures: Analyses and Algorithms for Machine Learning
热度：64
Mark Herbster(伦敦大学学院) Data-Dependent Geometries and Structures: Analyses and Algorithms for Machine Learning
热度：64
24Online Prediction on Large Diameter Graphs[大直径图形的在线预测]
Guy Lever(伦敦大学学院) We continue our study of online prediction of the labelling of a graph. We show a fundamental limitation of Laplacian-based algorithms: if the graph h...
热度：49
Guy Lever(伦敦大学学院) We continue our study of online prediction of the labelling of a graph. We show a fundamental limitation of Laplacian-based algorithms: if the graph h...
热度：49
25PAC-Bayes Analysis of Classification[分类的贝叶斯分析]
John Shawe-Taylor(伦敦大学学院) The lecture will introduce the PAC Bayes approach to the statistical analysis of learning. After some historical introduction, the key theorems will b...
热度：29
John Shawe-Taylor(伦敦大学学院) The lecture will introduce the PAC Bayes approach to the statistical analysis of learning. After some historical introduction, the key theorems will b...
热度：29
26Statistical Aspects of Pattern Analysis[模式分析的统计方面]
John Shawe-Taylor(伦敦大学学院) Abstract: The lectures will introduce the role of statistics in pattern analysis with a discussion of the difference between pattern significance and ...
热度：36
John Shawe-Taylor(伦敦大学学院) Abstract: The lectures will introduce the role of statistics in pattern analysis with a discussion of the difference between pattern significance and ...
热度：36
27Learning equivalence classes of directed acyclic latent variable models from multiple datasets with overlapping variables, incl. discussion by Ricardo Silva[从重叠变量的多个数据集中学习有向无环潜变量模型的等价类(Ricardo Silva的讨论)]
Ricardo Silva, Robert E. Tillman(伦敦大学学院) While there has been considerable research in learning probabilistic graphical models from data for predictive and causal inference, almost all existi...
热度：37
Ricardo Silva, Robert E. Tillman(伦敦大学学院) While there has been considerable research in learning probabilistic graphical models from data for predictive and causal inference, almost all existi...
热度：37
28Mixed Cumulative Distribution Networks[混合累积分布网络]
Ricardo Silva(伦敦大学学院) Directed acyclic graphs (DAGs) are a popular framework to express multivariate probability distributions. Acyclic directed mixed graphs (ADMGs) are ge...
热度：33
Ricardo Silva(伦敦大学学院) Directed acyclic graphs (DAGs) are a popular framework to express multivariate probability distributions. Acyclic directed mixed graphs (ADMGs) are ge...
热度：33
29Concave Gaussian Variational Approximations for Inference in Large-Scale Bayesian Linear Models[大规模贝叶斯线性模型中的凹高斯变分近似推理]
Edward Challis(伦敦大学学院) Two popular approaches to forming principled bounds in approximate Bayesian inference are local variational methods and minimal Kullback-Leibler diver...
热度：39
Edward Challis(伦敦大学学院) Two popular approaches to forming principled bounds in approximate Bayesian inference are local variational methods and minimal Kullback-Leibler diver...
热度：39
30Function class complexity and cluster structure with applications to transduction[函数类复杂性和簇结构及其在转导中的应用]
Guy Lever(伦敦大学学院) We relate function class complexity to structure in the function domain. This facilitates risk analysis relative to cluster structure in the input spa...
热度：40
Guy Lever(伦敦大学学院) We relate function class complexity to structure in the function domain. This facilitates risk analysis relative to cluster structure in the input spa...
热度：40