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Št. zadetkov: 16
Video in druga učna gradiva
Oznake: computer science;machine learning;clustering
Consider the task of clustering university web pages based on the graph of links between these pages. Can clusters of "functionally similar" pages be detected from just this link structure? Note that this is a clustering task in which one starts without any prior knowledge of any similarity or dista ...
Leto: 2010 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;machine learning;structured data
I will present a formal framework for transfer learning and investigate under which conditions is it possible to provide performance guarantees for such scenarios. I will address two key issues: *1) Which notions of task-similarity suffice to provide meaningful error bounds on a target task, for a p ...
Leto: 2009 Vir: videolectures.net
Video in druga učna gradiva
Oznake:
We consider the situation in which there is a basic learning task but different sub-tasks define different data generating distributions. Examples include learning to identify spam for various different email users, or parts-of-speech tagging for different text corpora. Our goal is to allow the u ...
Leto: 2006 Vir: videolectures.net
Video in druga učna gradiva
Oznake: mathematics
We propose a 'subjective' way of defining similarity between probability distributions.Our measure is parameterized by a collection H of subsets of the domain over which the probability distributions are defined. Intuitively speaking, H is the collection of 'subsets of interest' with respect to thep ...
Leto: 2007 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;machine learning;clustering
Leto: 2007 Vir: videolectures.net
Video in druga učna gradiva
Oznake:
Leto: 2008 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;machine learning;transfer learning;multi-task learning
How can the learning of some target task benefit from training data generated by a different, yet related, task? In the past few years, a range of machine learning applications led to the development of various heuristic paradigms that address these domain adaptation and transfer learning issues. ...
Leto: 2013 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;machine learning;clustering
Leto: 2007 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;machine learning;computational learning theory
Leto: 2006 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;machine learning
Theoretical analysis has played a major role in some of the most prominent practical successes of statistical machine learning. However, mainstream machine learning theory assumes some strong simplifying assumptions which are often unrealistic. In the past decade, the practice of machine learning ha ...
Leto: 2009 Vir: videolectures.net
Št. zadetkov: 16
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