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Michiel Stock

Hyperdimensional computing: a fast, robust and interpretable paradigm for biological data

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Feb 27, 2024
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The Hyperdimensional Transform for Distributional Modelling, Regression and Classification

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Nov 14, 2023
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The Hyperdimensional Transform: a Holographic Representation of Functions

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Oct 24, 2023
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A Comparative Study of Pairwise Learning Methods based on Kernel Ridge Regression

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Mar 05, 2018
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Exact and efficient top-K inference for multi-target prediction by querying separable linear relational models

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Jun 14, 2016
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Efficient Pairwise Learning Using Kernel Ridge Regression: an Exact Two-Step Method

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Jun 14, 2016
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A two-step learning approach for solving full and almost full cold start problems in dyadic prediction

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May 17, 2014
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Identification of functionally related enzymes by learning-to-rank methods

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May 17, 2014
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Efficient Regularized Least-Squares Algorithms for Conditional Ranking on Relational Data

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Jun 08, 2013
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A kernel-based framework for learning graded relations from data

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Nov 28, 2011
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