Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 237,042,366 papers from all fields of science
Search
Sign In
Create Free Account
Kernel methods for vector output
Kernel methods are a well-established tool to analyze the relationship between input data and the corresponding output of a function. Kernels…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
11 relations
Bayesian interpretation of kernel regularization
Cross-validation (statistics)
Gaussian process
Graph kernel
Expand
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
Multi-Relational Learning at Scale with ADMM
Lucas Drumond
,
Ernesto Diaz-Aviles
,
L. Schmidt-Thieme
arXiv.org
2016
Corpus ID: 14207295
Learning from multiple-relational data which contains noise, ambiguities, or duplicate entities is essential to a wide range of…
Expand
2016
2016
Topic for a Master ’ s Thesis : An Analysis of Chaining in Multi-Target Prediction Intelligent Systems
2016
Corpus ID: 4663542
The task of simultaneously predicting multiple target variables from a common set of input variables is known as multi-target…
Expand
Review
2008
Review
2008
A Bayesian View of Challenges in Feature Selection : Multilevel Analysis , Feature Aggregation , Multiple Targets , Redundancy and Interaction
P. Antal
2008
Corpus ID: 11440809
In the paper we discuss applications of the Bayesian approach to new challenges in relevance analysis. Earlier, we formulated a…
Expand