图 书 馆开课单位--华盛顿大学
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41Multi-task Regularization of Generative Similarity Models[生成相似模型的多任务化]
Luca Cazzanti(华盛顿大学) We investigate a multi-task approach to similarity discriminant analysis, where we propose treating the estimation of the different class-conditional ...
热度：53
Luca Cazzanti(华盛顿大学) We investigate a multi-task approach to similarity discriminant analysis, where we propose treating the estimation of the different class-conditional ...
热度：53
42Shadow Dirichlet for Restricted Probability Modeling[受限制的概率建模的影子]
Maya Gupta(华盛顿大学) 虽然Dirichlet分布广泛的应用，其组成部分的独立结构限制了它作为一个模型的准确性。提出的阴影Dirichlet分布的操纵支持为模型的概率质量函数（PMFS）依赖关系或...
热度：51
Maya Gupta(华盛顿大学) 虽然Dirichlet分布广泛的应用，其组成部分的独立结构限制了它作为一个模型的准确性。提出的阴影Dirichlet分布的操纵支持为模型的概率质量函数（PMFS）依赖关系或...
热度：51
43Online Submodular Set Cover, Ranking, and Repeated Active Learning[在线子模块设置封面，排名和重复的主动学习]
Bilmes Jeff A(华盛顿大学) We propose an online prediction version of submodular set cover with connections to ranking and repeated active learning. In each round, the learning ...
热度：45
Bilmes Jeff A(华盛顿大学) We propose an online prediction version of submodular set cover with connections to ranking and repeated active learning. In each round, the learning ...
热度：45
44GP-BayesFilters: Gaussian Process Regression for Bayesian Filtering[GP-BayesFilters：贝叶斯滤波高斯过程回归]
Dieter Fox(华盛顿大学) Bayes filters recursively estimate the state of dynamical systems from streams of sensor data. Key components of each Bayes filter are probabilistic p...
热度：787
Dieter Fox(华盛顿大学) Bayes filters recursively estimate the state of dynamical systems from streams of sensor data. Key components of each Bayes filter are probabilistic p...
热度：787
45Multi-Kernel Learning for Biology[生物学的多核学习]
William Stafford Noble(华盛顿大学) One of the primary tasks facing biologists today is to integrate the different views of molecular biology that are provided by various types of exper...
热度：40
William Stafford Noble(华盛顿大学) One of the primary tasks facing biologists today is to integrate the different views of molecular biology that are provided by various types of exper...
热度：40
46Learning Patterns in the Dynamics of Biological Networks[生物网络动力学中的学习模式]
Chang hun You(华盛顿大学) Our dynamic graph-based relational mining approach has been developed to learn structural patterns in biological networks as they change over time. Th...
热度：32
Chang hun You(华盛顿大学) Our dynamic graph-based relational mining approach has been developed to learn structural patterns in biological networks as they change over time. Th...
热度：32
47Human-Aided Computing: Utilizing Implicit Human Processing to Classify Images[人类辅助计算：利用隐藏式人工处理来分类图像]
Pradeep Shenoy(华盛顿大学) Human-Aided Computing uses an electroencephalograph (EEG)device to measure the outcomes of implicit cognitive processingto perform image classificatio...
热度：39
Pradeep Shenoy(华盛顿大学) Human-Aided Computing uses an electroencephalograph (EEG)device to measure the outcomes of implicit cognitive processingto perform image classificatio...
热度：39
48Statistical Modeling of Relational Data[关系数据的统计建模]
Pedro Domingos(华盛顿大学) KDD has traditionally been concerned with mining data from a single relation. However, most applications involve multiple interacting relations, eithe...
热度：43
Pedro Domingos(华盛顿大学) KDD has traditionally been concerned with mining data from a single relation. However, most applications involve multiple interacting relations, eithe...
热度：43
49Sidelines: An Algorithm for Increasing Diversity in News and Opinion Aggregators[边界：增加新闻和意见聚集的多样性的算法]
Sean A. Munson(华盛顿大学) Aggregators rely on votes, and links to select and present subsets of the large quantity of news and opinion items gen- erated each day. Opinion and t...
热度：62
Sean A. Munson(华盛顿大学) Aggregators rely on votes, and links to select and present subsets of the large quantity of news and opinion items gen- erated each day. Opinion and t...
热度：62
50Practical Statistical Relational Learning[实用统计关系学习]
Pedro Domingos(华盛顿大学) The tutorial will be composed of three parts:** ** # ** Foundational areas.** The first part will consist of a brief introduction to each of the four ...
热度：53
Pedro Domingos(华盛顿大学) The tutorial will be composed of three parts:** ** # ** Foundational areas.** The first part will consist of a brief introduction to each of the four ...
热度：53