no code implementations • 27 Feb 2024 • Michiel Stock, Dimitri Boeckaerts, Pieter Dewulf, Steff Taelman, Maxime Van Haeverbeke, Wim Van Criekinge, Bernard De Baets
Advances in bioinformatics are primarily due to new algorithms for processing diverse biological data sources.
1 code implementation • 14 Nov 2023 • Pieter Dewulf, Bernard De Baets, Michiel Stock
Hyperdimensional computing (HDC) is an increasingly popular computing paradigm with immense potential for future intelligent applications.
no code implementations • 24 Oct 2023 • Pieter Dewulf, Michiel Stock, Bernard De Baets
We introduce the hyperdimensional transform as a new kind of integral transform.
no code implementations • 5 Mar 2018 • Michiel Stock, Tapio Pahikkala, Antti Airola, Bernard De Baets, Willem Waegeman
Problems of that kind are often referred to as pairwise learning, dyadic prediction or network inference problems.
no code implementations • 14 Jun 2016 • Michiel Stock, Krzysztof Dembczynski, Bernard De Baets, Willem Waegeman
Many complex multi-target prediction problems that concern large target spaces are characterised by a need for efficient prediction strategies that avoid the computation of predictions for all targets explicitly.
no code implementations • 14 Jun 2016 • Michiel Stock, Tapio Pahikkala, Antti Airola, Bernard De Baets, Willem Waegeman
In this work we analyze kernel-based methods for pairwise learning, with a particular focus on a recently-suggested two-step method.
1 code implementation • 17 May 2014 • Tapio Pahikkala, Michiel Stock, Antti Airola, Tero Aittokallio, Bernard De Baets, Willem Waegeman
Dyadic prediction methods operate on pairs of objects (dyads), aiming to infer labels for out-of-sample dyads.
no code implementations • 17 May 2014 • Michiel Stock, Thomas Fober, Eyke Hüllermeier, Serghei Glinca, Gerhard Klebe, Tapio Pahikkala, Antti Airola, Bernard De Baets, Willem Waegeman
For a given query, the search operation results in a ranking of the enzymes in the database, from very similar to dissimilar enzymes, while information about the biological function of annotated database enzymes is ignored.
no code implementations • 21 Sep 2012 • Tapio Pahikkala, Antti Airola, Michiel Stock, Bernard De Baets, Willem Waegeman
In domains like bioinformatics, information retrieval and social network analysis, one can find learning tasks where the goal consists of inferring a ranking of objects, conditioned on a particular target object.