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Št. zadetkov: 9
Nonparametric Relational Learning with Applications to Decision Support and Bioinformatics and with a Perspective for the Semantic Web
Volker Tresp
Video in druga učna gradiva
Oznake: computer science;semantic web;machine learning
Leto: 2007 Vir: videolectures.net
Learning with Dependencies between Several Response Variables
Volker Tresp
Video in druga učna gradiva
Oznake: computer science;machine learning;multi-task learning;bayesian learning
We analyze situations where modeling several response variables for a given input improves the prediction accuracy for each individual response variable. Interestingly, this setting has appeared in different context and a number of different but related approaches have been proposed. In all these a ...
Leto: 2009 Vir: videolectures.net
Dirichlet Processes and Nonparametric Bayesian Modelling
Volker Tresp
Video in druga učna gradiva
Oznake: computer science;machine learning;bayesian learning;dirichlet processes
Bayesian modeling is a principled approach to updating the degree of belief in a hypothesis given prior knowledge and given available evidence. Both prior knowledge and evidence are combined using Bayes' rule to obtain the a posterior hypothesis. In most cases of interest to machine learning, the pr ...
Leto: 2006 Vir: videolectures.net
Relational Latent Class Models
Volker Tresp
Video in druga učna gradiva
Oznake: computer science;machine learning;principal component analysis
Leto: 2008 Vir: videolectures.net
Statistical Relational Learning
Volker Tresp
Video in druga učna gradiva
Oznake: computer science;machine learning;medicine
Statistical Relational Learning concerns applications where relationships between objects are important. Examples are social networks (Jack, likes, Mary), a clinical setting (Jack, hasDisease, Diabetes) and knowledge graphs (Obama, presidentOf, USA). I will first review multivariate statistical mode ...
Leto: 2014 Vir: videolectures.net
Machine Learning with Knowledge Graphs
Volker Tresp
Video in druga učna gradiva
Oznake: computer science;semantic web;big data
Most successful applications of statistical machine learning focus on response learning or signal-reaction learning where an output is produced as a direct response to an input. An important feature is a quick response time, the basis for, e.g., real-time ad-placement on the Web, real-time address r ...
Leto: 2014 Vir: videolectures.net
Embedding Learning for Declarative Memories
Volker Tresp
Video in druga učna gradiva
Oznake: computer science;big data;semantic web
The major components of the brain’s declarative or explicit memory are semantic memory and episodic memory. Whereas semantic memory stores general factual knowledge, episodic memory stores events together with their temporal and spatial contexts. We present mathematical models for declarative memori ...
Leto: 2017 Vir: videolectures.net
Integrating Ontological Prior Knowledge into Relational Learning
Stefan Reckow , Volker Tresp
Video in druga učna gradiva
Oznake:
Leto: 2008 Vir: videolectures.net
Relation-Prediction in Multi-Relational Domains using Matrix-Factorization
Christoph Lippert , Stefan-Hagen Weber , Yi Huang , Volker Tresp , Matthias Schubert , Hans-Peter Kriegel
Video in druga učna gradiva
Oznake: computer science;bioinformatics;computational systems biology
Leto: 2008 Vir: videolectures.net
Št. zadetkov: 9
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