开课单位--列日大学
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Inferring regulatory networks from expression data using tree-based methods[使用基于树的方法从表达数据中推断出监管网络]
  Van Anh Huynh-Thu(列日大学) One of the pressing open problems of computational systems biology is the elucidation of the topology of genetic regulatory networks (GRNs) using high...
热度：46

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Methodological aspects in integromics: integrating multiple omics data sets[整合组学中的方法论问题：整合多组学数据集]
  Kristel Van Steen(列日大学) The advent of high-throughput technologies including sequencers and array-based assays (expression, SNP, CpG) have caused the generation of humongous ...
热度：56

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Yves Deloye - discussion[伊夫deloye讨论]
  Martin Erpicum;Pierre Delvenne;Mauro Calise(列日大学) Categories Top » Social Sciences » Society » Politics  
热度：52

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Tree Based Ensemble Models Regularization by Convex Optimization[基于树的集合模型正则化方法的凸优化]
  Bertrand Cornelusse(列日大学) Tree based ensemble methods can be seen as a way to learn a kernel from a sample of input-output pairs. This paper proposes a regularization framework...
热度：67

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Gene regulatory network inference using tree-based ensemble methods[基于树的集成方法的基因调控网络推理]
  Pierre Geurts(列日大学) One of the pressing open problems of computational systems biology is the elucidation of the topology of genetic regulatory networks. In this talk, we...
热度：49

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Learning Parameters in Discrete Naive Bayes Models by Computing Fibers of the Parametrization map [通过计算参数化地图纤维学习离散朴素贝叶模型的参数]
  Vincent Auvray;Louis Wehenkel(列日大学) Discrete Naive Bayes models are usually defined parametrically with a map from a parameter space to a probability distribution space. First, we presen...
热度：34

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Pattern Recognition for Neuroimaging Toolbox[神经影像工具箱的模式识别]
  Jessica Schrouff(列日大学) In the past years, mass univariate statistical analyses of neuroimaging data have been complemented by the use of multivariate pattern analyses, espec...
热度：108

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Efficiently approximating Markov tree bagging for high-dimensional density estimation[有效地逼近马尔可夫树袋装以进行高维密度估计]
  François Schnitzler(列日大学) We consider algorithms for generating Mixtures of Bagged Markov Trees, for density estimation. In problems defined over many variables and when few ob...
热度：71
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