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machine-learning
TU/e 5XSL0
Fundamentals of Machine Learning
: a BSc course that covers the basics of machine learning, including linear classification and regression, support vector machines, random forests, and neural networks.
Last updated on 4 Jan 2022
Sequential domain-adaptive machine learning
29 Aug 2019
Kasteel Oud-Poelgeest, Leiden, the Netherlands
SeqDAIS
Sequential Domain Adaptive Intelligent Systems focuses on ordered domain-adaptative classification over a sequence of biased samples from an underlying population.
Variance reduction techniques for importance-weighted cross-validation
9 Mar 2017 16:00 — 16:30
Amersfoort, Netherlands
Target contrastive estimator for robust domain adaptation
27 May 2016 15:00 — 16:00
Erasmus MC, Rotterdam, the Netherlands
Feature-level domain adaptation
20 Mar 2016 10:00 — 10:30
Amersfoort, Netherlands
Feature absence regularization for domain-adaptive learning
SNN organized a one day symposium entitled Intelligent Machines, where an overview of recent developments was presented. The meeting aimed to establish a dialogue and to build connections between academic research, industry and public institutions in the Netherlands. I presented my preliminary work on incorporating transfer models in domain-adaptive classifiers.
17 Mar 2015
Amersfoort, Netherlands
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