开课单位--滑铁卢大学
21
22
23
24
25
![](functions/showpic.php?filename=2019090707590948.png)
No-Free-Lunch Theorems for Transfer Learning [转移学习没有免费午餐定理 ]
Shai Ben-David(滑铁卢大学 ) I will present a formal framework for transfer learning and investigate under which conditions is it possible to provide performance guarantees for su...
热度:77
Shai Ben-David(滑铁卢大学 ) I will present a formal framework for transfer learning and investigate under which conditions is it possible to provide performance guarantees for su...
热度:77
![](functions/showpic.php?filename=2019051409484888.png)
The Sample Complexity of Learning the Kernel[学习内核的样本复杂性 ]
Shai Ben-David(滑铁卢大学 ) The success of kernel based learning algorithms depends upon the suitability of the kernel to the learning task. Ideally, the choice of a kernel shou...
热度:69
Shai Ben-David(滑铁卢大学 ) The success of kernel based learning algorithms depends upon the suitability of the kernel to the learning task. Ideally, the choice of a kernel shou...
热度:69
![](functions/showpic.php?filename=2019042508352743.png)
Clustering without any subjective similarity information[无主观相似信息的聚类]
Shai Ben-David(滑铁卢大学) Consider the task of clustering university web pages based on the graph of links between these pages. Can clusters of "functionally similar"...
热度:21
Shai Ben-David(滑铁卢大学) Consider the task of clustering university web pages based on the graph of links between these pages. Can clusters of "functionally similar"...
热度:21
![](functions/showpic.php?filename=2019040307461564.png)
Analyzing and Escaping Local Optima in Planning as Inference for Partially Observable Domains[在计划中作为局部可观测域推理的规划中局部最优分析与逃避]
Pascal Poupart(滑铁卢大学) Planning as inference recently emerged as a versatile approach to decision-theoretic planning and reinforcement learning for single and multi-agent sy...
热度:56
Pascal Poupart(滑铁卢大学) Planning as inference recently emerged as a versatile approach to decision-theoretic planning and reinforcement learning for single and multi-agent sy...
热度:56
![](functions/showpic.php?filename=2019032301120543.png)
Invited Talk: Towards Theoretical Understanding of Domain Adaptation Learning[应邀演讲:对领域适应学习的理论理解]
Shai Ben-David(滑铁卢大学) Machine learning enjoys a deep and powerful theory that has led to a wide variety of highly successful practical tools. However, most of this theory i...
热度:73
Shai Ben-David(滑铁卢大学) Machine learning enjoys a deep and powerful theory that has led to a wide variety of highly successful practical tools. However, most of this theory i...
热度:73