图 书 馆开课单位--哥本哈根大学
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1112PAC-Bayesian Analysis: A Link Between Inference and Statistical Physics[PAC-贝叶斯分析：推理与统计物理学之间的联系]
Yevgeny Seldin(哥本哈根大学) PAC-Bayesian analysis is a general tool for deriving generalization bounds for a wide class of inference rules. Interestingly, PAC-Bayesian generaliza...
热度：240
Yevgeny Seldin(哥本哈根大学) PAC-Bayesian analysis is a general tool for deriving generalization bounds for a wide class of inference rules. Interestingly, PAC-Bayesian generaliza...
热度：240
1314PAC-Bayesian Approach to Formulation of Clustering Objectives[聚类目标的pac-bayesian方法 ]
Yevgeny Seldin(哥本哈根大学 ) Clustering is a widely used tool for exploratory data analysis. However, the theoretical understanding of clustering is very limited. We still do not ...
热度：53
Yevgeny Seldin(哥本哈根大学 ) Clustering is a widely used tool for exploratory data analysis. However, the theoretical understanding of clustering is very limited. We still do not ...
热度：53
15PAC-Bayesian Analysis and Its Applications[PAC-Bayesian分析及其应用]
Yevgeny Seldin, John Shawe-Taylor, François Laviolette(哥本哈根大学) PAC-Bayesian analysis is a basic and very general tool for data-dependent analysis in machine learning. By now, it has been applied in such diverse ar...
热度：54
Yevgeny Seldin, John Shawe-Taylor, François Laviolette(哥本哈根大学) PAC-Bayesian analysis is a basic and very general tool for data-dependent analysis in machine learning. By now, it has been applied in such diverse ar...
热度：54
16Multi-Classification by Categorical Features via Clustering[通过聚类按分类特征进行多重分类]
Yevgeny Seldin(哥本哈根大学) We derive a generalization bound for multi-classification schemes based on grid clustering in categorical parameter product spaces. Grid clustering pa...
热度：76
Yevgeny Seldin(哥本哈根大学) We derive a generalization bound for multi-classification schemes based on grid clustering in categorical parameter product spaces. Grid clustering pa...
热度：76
17Minimum Likelihood Image Feature and Scale Detection Based on the Brownian Image Model[基于布朗图像模型的最小似然图像特征与尺度检测]
Kim S. Pedersen(哥本哈根大学) We present a novel approach to image feature and scale detection based on the fractional Brownian image model in which images are realisations of a Ga...
热度：29
Kim S. Pedersen(哥本哈根大学) We present a novel approach to image feature and scale detection based on the fractional Brownian image model in which images are realisations of a Ga...
热度：29
18Speech and gestures: computational linguistic studies[言语和手势：计算语言学]
Costanza Navarretta(哥本哈根大学) Speech and gestures: computational linguistic studies
热度：36
Costanza Navarretta(哥本哈根大学) Speech and gestures: computational linguistic studies
热度：36