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Št. zadetkov: 29
Discussion
John Langford
Video in druga učna gradiva
Oznake: computer science;machine learning
Leto: 2004 Vir: videolectures.net
The Offset Tree for Learning with Partial Labels
John Langford
Video in druga učna gradiva
Oznake: computer science;machine learning
Leto: 2009 Vir: videolectures.net
The Offset Tree for Learning with Partial Labels
John Langford
Video in druga učna gradiva
Oznake: computer science;machine learning;semi-supervised learning
We present an algorithm, called the Offset Tree, for learning to make decisions in situations where the payoff of only one choice is observed, rather than all choices. The algorithm reduces this setting to binary classification, allowing one to reuse any existing, fully supervised binary classificat ...
Leto: 2009 Vir: videolectures.net
Learning in the Loop
John Langford
Video in druga učna gradiva
Oznake: computer science;decision support;machine learning;on-line learning
Learning from user feedback well requires solving several problems simultaneously:\\ {a) Dealing with the scale of user feedback, which is often several orders of magnitude larger than editorial feedback.\\ {b) Dealing with the weak and sometimes adversarial feedback that users provide.\\ {c) Dealin ...
Leto: 2012 Vir: videolectures.net
Agnostic Active learning
John Langford
Video in druga učna gradiva
Oznake: computer science;machine learning;active learning
Leto: 2005 Vir: videolectures.net
How classifieres can be use to solve any reasonable loss
John Langford
Video in druga učna gradiva
Oznake: computer science;machine learning
Leto: 2005 Vir: videolectures.net
Short interviews MLSS05 Chicago by John Langford
John Langford
Video in druga učna gradiva
Oznake: computer science;interviews
Leto: 2005 Vir: videolectures.net
Generalization bounds
John Langford
Video in druga učna gradiva
Oznake: computer science;machine learning;computational learning theory
When a learning algorithm produces a classifier, a natural question to ask is "How well will it do in the future?" To make statements about the future given the past, some assumption must be made. If we make only an assumption that all examples are drawn independently and identically from some (unkn ...
Leto: 2005 Vir: videolectures.net
Tutorial on Machine Learning Reductions
John Langford
Video in druga učna gradiva
Oznake: computer science;machine learning
There are several different classification problems commonly encountered in real world applications such as 'importance weighted classification', 'cost sensitive classification', 'reinforcement learning', 'regression' and others. Many of these problems can be related to each other by simple machines ...
Leto: 2005 Vir: videolectures.net
Welcome to Chicago, and a (brief!) introduction to machine learning
John Langford
Video in druga učna gradiva
Oznake: computer science;machine learning;events
Leto: 2005 Vir: videolectures.net
Št. zadetkov: 29
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