开课单位--伦敦大学学院

91
Large-Margin Structured Prediction via Linear Programming[大缘结构预测采用线性规划]
  Zhuoran Wang(伦敦大学学院) This paper presents a novel learning algorithm for structured classification, where the task is to predict multiple and interacting labels (multilabel...
热度：34

92
Genomic characterization of Triple-Negative breast cancer[三阴性乳腺癌的基因组特性]
  Emanuele de Rinaldis(伦敦大学学院) Genomic characterization of Triple-Negative breast cancer
热度：35

93
Auxillary Variational Information Maximization for Dimensionality Reduction[辅助变信息最大化降维]
  David Barber(伦敦大学学院) Mutual Information (MI) is a long studied measure of in- formation content, and many attempts to apply it to feature extraction and stochastic coding ...
热度：47

94
Flexible and efficient Gaussian process models[灵活高效的高斯过程模型]
  Edward Snelson(伦敦大学学院) I will briefly describe our work on the sparse pseudo-input Gaussian process (SPGP), where we refine the sparse approximation by selecting `pseudo-inp...
热度：143

95
Exploration Vs. Explotation[勘探对开发]
  Zakria Hussain(伦敦大学学院)
热度：42

96
Probabilistic amplitude and frequency demodulation[概率振幅和频率解调]
  Richard Turner(伦敦大学学院) A number of recent scientific and engineering problems require signals to be decomposed into a product of a slowly varying positive envelope and a qui...
热度：28

97
Popularising the science and researchers of PASCAL[普及科学和研究人员帕斯卡]
  Peter Bentley(伦敦大学学院)
热度：23

98
Covariate Shift by Kernel Mean Matching[通过核转移变量均值匹配]
  Arthur Gretton(伦敦大学学院) Given sets of observations of training and test data, we consider the problem of re-weighting the training data such that its distribution more closel...
热度：410

99
Distribution-Dependent PAC-Bayes Priors[PAC贝叶斯先验分布的依赖性]
  Guy Lever(伦敦大学学院)
热度：25

100
PAC-Bayes Analysis: Background and Applications[PAC-Bayes分析：背景及应用]
  John Shawe-Taylor(伦敦大学学院)
热度：21