图 书 馆开课单位--杜克大学
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1Integrating genetic and gene expression evidence into genome-wide association analysis of gene sets[将遗传和基因表达证据整合到基因集的全基因组关联分析中]
Sayan Mukherjee(杜克大学) Integrating genetic and gene expression evidence into genome-wide association analysis of gene sets
热度：17
Sayan Mukherjee(杜克大学) Integrating genetic and gene expression evidence into genome-wide association analysis of gene sets
热度：17
2Linear-Time Self Attention with Codeword Histogram for Efficient Recommendation[线性时间自我注意与码字直方图相结合，实现高效推荐]
Yongji Wu(杜克大学) Linear-Time Self Attention with Codeword Histogram for Efficient Recommendation
热度：107
Yongji Wu(杜克大学) Linear-Time Self Attention with Codeword Histogram for Efficient Recommendation
热度：107
3Multiscale analysis on graphs[图的多尺度分析]
Mauro Maggioni(杜克大学) Analysis on graphs has recently been shown to lead to powerful algorithms in learning, in particular for regression, classification andclustering. Eig...
热度：43
Mauro Maggioni(杜克大学) Analysis on graphs has recently been shown to lead to powerful algorithms in learning, in particular for regression, classification andclustering. Eig...
热度：43
4Introduction to Machine Learning[机器学习导论]
Katherine A. Heller(杜克大学) Introduction to Machine Learning
热度：36
Katherine A. Heller(杜克大学) Introduction to Machine Learning
热度：36
5Game Dynamics with Learning and Evolution of Universal Grammar[学习和普遍语法的演化博弈动力学]
Garrett Mitchener(杜克大学) I will present a model of language evolution, based on population game dynamics with learning. Specifically, we consider the case of two genetic vari-...
热度：53
Garrett Mitchener(杜克大学) I will present a model of language evolution, based on population game dynamics with learning. Specifically, we consider the case of two genetic vari-...
热度：53
6Kernelized Value Function Approximation for Reinforcement Learning[强化学习的核函数值函数逼近]
Gavin Taylor(杜克大学) A recent surge in research in kernelized approaches to reinforcement learning has sought to bring the benefits of kernelized machine learning techniqu...
热度：161
Gavin Taylor(杜克大学) A recent surge in research in kernelized approaches to reinforcement learning has sought to bring the benefits of kernelized machine learning techniqu...
热度：161
7Learning patterns in omic data: applications of learning theory[在经济数据的学习模式：学习理论的应用]
Sayan Mukherjee(杜克大学)
热度：39
Sayan Mukherjee(杜克大学)
热度：39
8Statistical Models for Partial Membership[部分隶属度的统计模型]
Heller Katherine A(杜克大学) We present a principled Bayesian framework for modeling partial memberships of data points to clusters. Unlike a standard mixture model which assumes ...
热度：36
Heller Katherine A(杜克大学) We present a principled Bayesian framework for modeling partial memberships of data points to clusters. Unlike a standard mixture model which assumes ...
热度：36
9The Stability of the Contour of an Orientable 2-Manifold[定向二维歧管轮廓的稳定性]
Herbert Edelsbrunner(杜克大学) Think of the view of the boundary of a solid shape as a projection of a 2-manifold to R^2. Its apparent contour is the projection of the critical poin...
热度：45
Herbert Edelsbrunner(杜克大学) Think of the view of the boundary of a solid shape as a projection of a 2-manifold to R^2. Its apparent contour is the projection of the critical poin...
热度：45
10Dependent Hierarchical Beta Process for Image Interpolation and Denoising[依赖分层β过程的图像插值和去噪]
Mingyuan Zhou(杜克大学) A dependent hierarchical beta process (dHBP) is developed as a prior for data that may be represented in terms of a sparse set of latent features, wit...
热度：175
Mingyuan Zhou(杜克大学) A dependent hierarchical beta process (dHBP) is developed as a prior for data that may be represented in terms of a sparse set of latent features, wit...
热度：175