图 书 馆开课单位--加州大学
61
62
63
64
65
66
67
68
69
70
6162Education 173: Cognition & Learning in Educational Settings[教育173：认知与学习的教育设置]
Michael Martinez(加州大学) The research literature on cognitive processes relevant to teaching and learning is vast and fascinating. The purpose of this course is to introduce s...
热度：52
Michael Martinez(加州大学) The research literature on cognitive processes relevant to teaching and learning is vast and fascinating. The purpose of this course is to introduce s...
热度：52
6364Game Theory & Clustering[博弈论与聚类]
Marcello Pelillo(加州大学) The course will provide an overview of recent work on pairwise data clustering which has lead to establish intriguing connections between unsupervised...
热度：41
Marcello Pelillo(加州大学) The course will provide an overview of recent work on pairwise data clustering which has lead to establish intriguing connections between unsupervised...
热度：41
65Geometry of partial cube graphs[几何结构的部分立方体图]
David Eppstein(加州大学) Partial cubes are graphs defined by a geometric structure: the graph vertices can be placed on the vertices of a hypercube in such a way that graph d...
热度：82
David Eppstein(加州大学) Partial cubes are graphs defined by a geometric structure: the graph vertices can be placed on the vertices of a hypercube in such a way that graph d...
热度：82
66Coping with Semantic Uncertainty with VENSES[用VENSES应对语义不确定性]
Rodolfo Delmonte(加州大学 ) As in the previous RTE Challenge, we present a linguistically-based approach for semantic inference which is built around a neat division of labour be...
热度：52
Rodolfo Delmonte(加州大学 ) As in the previous RTE Challenge, we present a linguistically-based approach for semantic inference which is built around a neat division of labour be...
热度：52
67What Is a Cluster: Perspectives from Game Theory[什么是集群：博弈论视角 ]
Marcello Pelillo(加州大学 ) Instead of insisting on the idea of determining a partition of the input data, and hence obtaining the clusters as a by-product of the partitioning pr...
热度：65
Marcello Pelillo(加州大学 ) Instead of insisting on the idea of determining a partition of the input data, and hence obtaining the clusters as a by-product of the partitioning pr...
热度：65
68Vision and Hodge Theory[愿景与霍奇理论]
Stephen Smale(加州大学) A general mathematical Hodge theory will be presented together with its relationship to spaces of images.
热度：94
Stephen Smale(加州大学) A general mathematical Hodge theory will be presented together with its relationship to spaces of images.
热度：94
69Algorithms for Learning and their Estimates[学习算法及其估算]
Steve Smale(加州大学) We will try to give an elementary account of bounds for "regularized least squares" that reflects our current knowledge. The framework for t...
热度：67
Steve Smale(加州大学) We will try to give an elementary account of bounds for "regularized least squares" that reflects our current knowledge. The framework for t...
热度：67
70Unified Loss Function and Estimating Function Based Learning[统一损失函数与基于估计函数的学习]
Mark van der Laan(加州大学) Current applications in genomics and epidemiology concern high dimensional (and, possibly, time-dependent) data structures, and the questions of inter...
热度：54
Mark van der Laan(加州大学) Current applications in genomics and epidemiology concern high dimensional (and, possibly, time-dependent) data structures, and the questions of inter...
热度：54