开课单位--加利福尼亚大学
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Guaranteed Non-convex Learning Algorithms through Tensor Factorization[张量分解的保证非凸学习算法]
  Animashree Anandkumar(加利福尼亚大学) Modern machine learning involves massive datasets of text, images, videos, biological data, and so on. Most learning tasks can be framed as optimizati...
热度:25

2
Online Amnestic DTW to allow Real-Time Golden Batch Monitoring[DTW算法允许实时黄金批次监测]
   Chin-Chia Michael Yeh(加利福尼亚大学) In manufacturing, a golden batch is an idealized realization of the perfect process to produce the desired item, typically represented as a multidimen...
热度:85

3
MOOCs and the Hubble Telescope: The Big Leap for Higher Education Research[MOOC和哈勃望远镜:高等教育研究的重大飞跃]
   Gary W. Matkin(加利福尼亚大学) The University of California, Irvine (UCI) has over 12 years of experience in open education and has most recently focused on MOOCs. This experience h...
热度:38

4
Geometry of partial cube graphs[部分立方图的几何]
  David Eppstein(加利福尼亚大学) 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 di...
热度:45

5
Geometric Computing over Uncertain Data[不确定数据下的几何计算]
  Subhash Suri(加利福尼亚大学) Geometric structures such as the convex hull, Delaunay triangulation, or minimum spanning tree (MST) are fundamental tools for reasoning about multi-d...
热度:46

6
Learning Scale Free Networks by Reweighted L1 regularization[通过加权L1正则化学习无尺度网络]
  Qiang Liu(加利福尼亚大学) Methods for L1-type regularization have been widely used in Gaussian graphical model selection tasks to encourage sparse structures. However, often we...
热度:43

7
On Burstiness-Aware Search for Document Sequences[对文档的搜索序列的突发意识]
  Theodoros Lappas(加利福尼亚大学) As the number and size of large timestamped collections (e.g. sequences of digitized newspapers, periodicals, blogs) increase, the problem of efficien...
热度:48

8
Leveraging Joint Test Status Distribution for an Optimal Significance Testing[利用联合测试状态分布进行最佳显著性测试]
  Eleazar Eskin(加利福尼亚大学) 利用联合测试状态分布进行最佳显著性测试
热度:51

9
Detecting Motifs Under Uniform Scaling[均匀尺度下的图案检测]
  Dragomir Yankov(加利福尼亚大学) Time series motifs are approximately repeated patterns found within the data. Such motifs have utility for many data mining algorithms, including rule...
热度:33

10
The 21st Century is about Engineering, Systems and Society[二十一世纪是与工程、系统和社会相关的]
  A Richard Newton(加利福尼亚大学) What’s “big, complex and hairy,” and requires the efforts of an impassioned, interdisciplinary team to tackle? The answer, says A. R...
热度:55
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