Št. zadetkov: 16
Video in druga učna gradiva
Oznake:
computer science;machine learning;supervised learning
We consider two widely used notions in machine learning, namely: sparsity and stability. Both notions are deemed desirable, and are believed to lead to good generalization ability. We show that these two notions contradict each other: a sparse algorithm can not be stable and vice versa. Thus, one ha ...
Leto:
2012
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;kernel methods;support vector machines
We consider a robust classification problem and show that standard regularized
SVM is a special case of our formulation, providing an explicit link between reg-
ularization and robustness. At the same time, the physical connection of noise and
robustness suggests the potential for a broad new fami ...
Leto:
2008
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning
We present a framework for biclustering and clustering where the observations are general labels. Our approach is based on the maximum likelihood estimator and its convex relaxation, and generalizes recent works in graph clustering to the biclustering setting. In addition to standard biclustering se ...
Leto:
2015
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;data mining;knowledge extraction
Collaborative networks are composed of experts who cooperate with each other to complete specific tasks, such as resolving problems reported by customers. A task is posted and subsequently routed in the network from an expert to another until being resolved. When an expert cannot solve a task, his r ...
Leto:
2014
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;data science
Heterogeneous Information Network (HIN) is a natural and general
representation of data in modern large commercial recommender
systems which involve heterogeneous types of data. HIN based
recommenders face two problems: how to represent the high-level
semantics of recommendations and how to fuse ...
Leto:
2017
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;data science
Leto:
2017
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;social media
The objective of this tutorial is to give a comprehensive overview of the techniques, applications, and research issues in the blogosphere. Weblogs, or Blogs, have facilitated people to express their thoughts, voice their opinions, and share their experiences and ideas. Individuals experience a sens ...
Leto:
2008
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;data mining;knowledge extraction
The recent blossom of social network and communication services in both public and corporate settings have generated a staggering amount of network data of all kinds. Unlike the bio-networks and the chemical compound graph data often used in traditional network mining and analysis, the new network d ...
Leto:
2014
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;data science
In recent years, research in Artificial Neural Networks (ANNs) has resurged, now under
the Deep-Learning umbrella, and grown extremely popular due to major breakthroughs
in methodological and computing capabilities. Deep-Learning methods are part of
representation-learning algorithms that attempt ...
Leto:
2016
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;data science
Developing transparent predictive analytics has attracted significant research attention recently. There have been multiple theories on how to model learning transparency but none of them aims to understand the internal and often complicated modeling processes. In this paper we adopt a contemporary ...
Leto:
2017
Vir:
videolectures.net