图 书 馆开课单位--加利福尼亚大学
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11Statistical Relational Learning - Part 2[部分2学习统计关系]
Lise Getoor(加利福尼亚大学) Statistical machine learning is a "relational revolution". After decades of focusing on independent identically distributed (IID) examples, ...
热度：254
Lise Getoor(加利福尼亚大学) Statistical machine learning is a "relational revolution". After decades of focusing on independent identically distributed (IID) examples, ...
热度：254
12Amazon Web Services & MxNET[亚马逊网络服务和MxNET]
Zachary C. Lipton;Alex Smola(加利福尼亚大学) This repo contains an incremental sequence of notebooks designed to teach deep learning, Apache MXNet (incubating), and the gluon interface. Our goal ...
热度：32
Zachary C. Lipton;Alex Smola(加利福尼亚大学) This repo contains an incremental sequence of notebooks designed to teach deep learning, Apache MXNet (incubating), and the gluon interface. Our goal ...
热度：32
13Extracting Structural Information from Images of Spiral Galaxies[从旋涡星系图像中提取结构信息]
Wayne Hayes(加利福尼亚大学) We have created a method for the efficient and automatic extraction of structure from images of spiral galaxies. In particular, we can isolate ”...
热度：32
Wayne Hayes(加利福尼亚大学) We have created a method for the efficient and automatic extraction of structure from images of spiral galaxies. In particular, we can isolate ”...
热度：32
14Hard and easy science[很容易学]
Henry Abarbanel(加利福尼亚大学) Using examples of the application of quantitative ideas in social science (hard sciences) and recalling some approaches to complex problems in natural...
热度：86
Henry Abarbanel(加利福尼亚大学) Using examples of the application of quantitative ideas in social science (hard sciences) and recalling some approaches to complex problems in natural...
热度：86
15Exponential Families in Feature Space - Part 5[特征空间中的指数族- 第5部分]
Vishwanathan S.V.N(加利福尼亚大学) In this introductory course we will discuss how log linear models can be extended to feature space. These log linear models have been studied by stati...
热度：37
Vishwanathan S.V.N(加利福尼亚大学) In this introductory course we will discuss how log linear models can be extended to feature space. These log linear models have been studied by stati...
热度：37
16A Tour of Modern [参观现代]
Peyman Milanfar(加利福尼亚大学) Recent developments in computational imaging and restoration have heralded the arrival and convergence of several powerful methods for adaptive proces...
热度：39
Peyman Milanfar(加利福尼亚大学) Recent developments in computational imaging and restoration have heralded the arrival and convergence of several powerful methods for adaptive proces...
热度：39
17Random walk graph kernels and rational kernels[随机游走的图形内核和合理的内核]
S.V.N. Vishwanathan(加利福尼亚大学) Random walk graph kernels (Gartner et al., 2003 [5]; Borgwardt et al., 2005 [1]) count matching random walks, and are defined using the tensor product...
热度：241
S.V.N. Vishwanathan(加利福尼亚大学) Random walk graph kernels (Gartner et al., 2003 [5]; Borgwardt et al., 2005 [1]) count matching random walks, and are defined using the tensor product...
热度：241
18No voodoo here! Learning discrete graphical models via inverse covariance estimation[这里没有巫术！通过逆协方差估计学习离散图形模型]
Po-Ling Loh(加利福尼亚大学) We investigate the relationship between the support of the inverses of generalized covariance matrices and the structure of a discrete graphical model...
热度：56
Po-Ling Loh(加利福尼亚大学) We investigate the relationship between the support of the inverses of generalized covariance matrices and the structure of a discrete graphical model...
热度：56
19BlindSight: Eyes-Free Access to Mobile Phones[盲视:无需眼睛即可使用手机]
Kevin A. Li(加利福尼亚大学) BlindSight allows mobile phone users to access phone calendarand contacts in situations where they cannot look at the screen, such as while talking on...
热度：55
Kevin A. Li(加利福尼亚大学) BlindSight allows mobile phone users to access phone calendarand contacts in situations where they cannot look at the screen, such as while talking on...
热度：55
20Exploiting feature covariance in high-dimensional online learning[在高维特征协方差开发在线学习]
Justin Ma(加利福尼亚大学) Some online algorithms for linear classification model the uncertainty in their weights over the course of learning. Modeling the full covariance stru...
热度：57
Justin Ma(加利福尼亚大学) Some online algorithms for linear classification model the uncertainty in their weights over the course of learning. Modeling the full covariance stru...
热度：57