开课单位--卡内基梅隆大学
91
92
93
94
95
96
97
98
99
100
![](functions/showpic.php?filename=2019032312101618.png)
Constrained Semi-Supervised Learning using Attributes and Comparative Attributes[基于属性和比较属性的约束半监督学习]
Stefan Carlsson, Antonio Torralba, Abhinav Shrivastava(卡内基梅隆大学) We consider the problem of semi-supervised bootstrap learning for scene categorization. Existing semi-supervised approaches are typically unreliable a...
热度:80
Stefan Carlsson, Antonio Torralba, Abhinav Shrivastava(卡内基梅隆大学) We consider the problem of semi-supervised bootstrap learning for scene categorization. Existing semi-supervised approaches are typically unreliable a...
热度:80
![](functions/showpic.php?filename=2019032312380853.png)
Bootstrapping Information Extraction from Semi-structured Web Pages[从半结构化网页中提取引导信息]
Charles Schafer, Andrew Carlson(卡内基梅隆大学) We consider the problem of extracting structured records from semi-structured web pages with no human supervision required for each target web site. P...
热度:64
Charles Schafer, Andrew Carlson(卡内基梅隆大学) We consider the problem of extracting structured records from semi-structured web pages with no human supervision required for each target web site. P...
热度:64
![](functions/showpic.php?filename=2019032312445022.png)
A Joint Topic and Perspective Model for Ideological Discourse[意识形态话语的联合主题与视角模型]
Eric P. Xing, Wei-Hao Lin, Alexander Hauptmann(卡内基梅隆大学) Polarizing discussions on political and social issues are common in mass and user-generated media. However, computer-based understanding of ideologica...
热度:73
Eric P. Xing, Wei-Hao Lin, Alexander Hauptmann(卡内基梅隆大学) Polarizing discussions on political and social issues are common in mass and user-generated media. However, computer-based understanding of ideologica...
热度:73
![](functions/showpic.php?filename=2019032312562287.png)
RTG: A Recursive Realistic Graph Generator using Random Typing[RTG:一种生成实景图的随机类型递归模型}
Leman Akoglu(卡内基梅隆大学) We propose a new, recursive model to generate realistic graphs, evolving over time. Our model has the following properties: it is (a) flexible, capabl...
热度:89
Leman Akoglu(卡内基梅隆大学) We propose a new, recursive model to generate realistic graphs, evolving over time. Our model has the following properties: it is (a) flexible, capabl...
热度:89
![](functions/showpic.php?filename=2019041603412335.png)
The economist as therapist: Behavioural economics and
George Loewenstein(卡内基梅隆大学) We review methodological issues that arise in designing, implementing and evaluating the efficacy of 'light' paternalistic policies. In contra...
热度:92
George Loewenstein(卡内基梅隆大学) We review methodological issues that arise in designing, implementing and evaluating the efficacy of 'light' paternalistic policies. In contra...
热度:92
![](functions/showpic.php?filename=2019041909082847.png)
On the Chance Accuracies of Large Collections of Classifiers[关于大量量词的机会准确性]
Mark Palatucci(卡内基梅隆大学) We provide a theoretical analysis of the chance accuracies of large collections of classifiers. We show that on problems with small numbers of example...
热度:57
Mark Palatucci(卡内基梅隆大学) We provide a theoretical analysis of the chance accuracies of large collections of classifiers. We show that on problems with small numbers of example...
热度:57
![](functions/showpic.php?filename=2019042308480385.png)
Regularization and Feature Selection in Least Squares Temporal-Difference Learning[最小二乘时变差分学习中的正则化与特征选择]
J. Zico Kolter(卡内基梅隆大学) We consider the task of reinforcement learning with linear value function approximation. Temporal difference algorithms, and in particular the Least-S...
热度:110
J. Zico Kolter(卡内基梅隆大学) We consider the task of reinforcement learning with linear value function approximation. Temporal difference algorithms, and in particular the Least-S...
热度:110
![](functions/showpic.php?filename=2019051508531684.png)
Efficient high dimensional maximum entropy modeling via symmetric partition functions[通过对称分区函数进行高效的高维最大熵建模]
Paul Vernaza(卡内基梅隆大学) The application of the maximum entropy principle to sequence modeling has been popularized by methods such as Conditional Random Fields (CRFs). Howeve...
热度:55
Paul Vernaza(卡内基梅隆大学) The application of the maximum entropy principle to sequence modeling has been popularized by methods such as Conditional Random Fields (CRFs). Howeve...
热度:55
![](functions/showpic.php?filename=2019071702421227.jpg)
Online Learning, Regret Minimization, and Game Theory[在线学习,遗憾最小化和博弈论]
Avrim Blum(卡内基梅隆大学) The first part of tha tutorial will discuss adaptive algorithms for making decisions in uncertain environments (e.g., what route should I take to work...
热度:195
Avrim Blum(卡内基梅隆大学) The first part of tha tutorial will discuss adaptive algorithms for making decisions in uncertain environments (e.g., what route should I take to work...
热度:195
![](functions/showpic.php?filename=2019071802381179.jpg)
Learning in Computer Vision[在计算机视觉中学习]
Simon Lucey(卡内基梅隆大学) This tutorial he will cover some of the core fundamentals in vision and demonstrate how they can be interpreted in terms of machine learning fundament...
热度:103
Simon Lucey(卡内基梅隆大学) This tutorial he will cover some of the core fundamentals in vision and demonstrate how they can be interpreted in terms of machine learning fundament...
热度:103