开课单位--加州大学伯克利分校

31
On Surrogate Loss Functions, f-Divergences and Decentralized Detection[在替代丧失功能,分歧和分散检测]
  Michael I. Jordan(加州大学伯克利分校) In 1951, David Blackwell published a seminal paper - widely cited in economics - in which a link was established between the risk based on 0-1 loss an...
热度:27

32
Fully Distributed EM for Very Large Datasets[完全分布式的大型数据集]
  Jason Wolfe(加州大学伯克利分校) In EM and related algorithms, E-step computations distribute easily, because data items are independent given parameters. For very large data sets, ho...
热度:29

33
The Philosophical Baby - What Children´s Minds Tell Us About Truth, Love, and the Meaning of Life[哲学的宝贝孩子´的思想告诉我们的真理,爱,和生命的意义]
  Alison Gopnik(加州大学伯克利分校) How do young children learn so much about the world so quickly and accurately? Many researchers have proposed that children implicitly formulate struc...
热度:52

34
27th Annual Conference on Learning Theory (COLT), Barcelona 2014 [关于计算和统计接口以及“大数据”]
  Michael I. Jordan(加州大学伯克利分校) The rapid growth in the size and scope of datasets in science and technology has created a need for novel foundational perspectives on data analysis t...
热度:45

35
Fast and Flexible Selection with a Single Switch[用一个开关快速灵活的选择]
  Tamara Broderick(加州大学伯克利分校) In single-switch communication, user input consists of repeated clicks, distinguished only by timing information; these clicks might be generated by p...
热度:70

36
Fast Approximate Spectral Clustering[快速近似谱聚类]
  Donghui Yan(加州大学伯克利分校) Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has lim...
热度:251

37
Lock-Free Approaches to Parallelizing Stochastic Gradient Descent[随机梯度下降并行化的无锁方法 ]
  Benjamin Recht(加州大学伯克利分校 ) Stochastic Gradient Descent (SGD) is a very popular optimization algorithm for solving data-driven machine learning problems. SGD is well suited to pr...
热度:103

38
May we come in?[我们可以进来吗?]
  Charles Fillmore(加州大学伯克利分校)
热度:45

39
A Reverse Notice and Takedown Regime to Enable Public Interest Uses of Technically Protected Copyrighted Works[反向注意和可拆卸的政权使公共利益利用技术保护版权作品]
  Pamela Samuelson(加州大学伯克利分校) Pamela Samuelson walks her audience through dense and murky regulations and case law surrounding digital rights management, glimpsing a somewhat brigh...
热度:50