Search Results - "Kouw, Wouter M"

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  1. 1

    A Review of Domain Adaptation without Target Labels by Kouw, Wouter M., Loog, Marco

    “…Domain adaptation has become a prominent problem setting in machine learning and related fields. This review asks the question: How can a classifier learn from…”
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    Journal Article
  2. 2

    The data representativeness criterion: Predicting the performance of supervised classification based on data set similarity by Schat, Evelien, van de Schoot, Rens, Kouw, Wouter M, Veen, Duco, Mendrik, Adriënne M

    Published in PloS one (11-08-2020)
    “…In a broad range of fields it may be desirable to reuse a supervised classification algorithm and apply it to a new data set. However, generalization of such…”
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    Journal Article
  3. 3

    Message Passing-Based Inference for Time-Varying Autoregressive Models by Podusenko, Albert, Kouw, Wouter M., de Vries, Bert

    Published in Entropy (Basel, Switzerland) (28-05-2021)
    “…Time-varying autoregressive (TVAR) models are widely used for modeling of non-stationary signals. Unfortunately, online joint adaptation of both states and…”
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    Journal Article
  4. 4

    On Epistemics in Expected Free Energy for Linear Gaussian State Space Models by Koudahl, Magnus T, Kouw, Wouter M, de Vries, Bert

    Published in Entropy (Basel, Switzerland) (24-11-2021)
    “…Active Inference (AIF) is a framework that can be used both to describe information processing in naturally intelligent systems, such as the human brain, and…”
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    Journal Article
  5. 5

    Robust domain-adaptive discriminant analysis by Kouw, Wouter M., Loog, Marco

    Published in Pattern recognition letters (01-08-2021)
    “…•Design of a robust, transductive estimator for domain adaptation whose target risk is never worse than that of the source estimator.•Our estimator need not…”
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    Journal Article
  6. 6

    Multiple Variational Kalman-GRU for Ship Trajectory Prediction With Uncertainty by Jia, Chengfeng, Ma, Jie, Kouw, Wouter M.

    “…Accurate prediction of ship trajectories is crucial for ensuring safe and efficient navigation. However, predicting ship trajectories in complex and dynamic…”
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    Journal Article
  7. 7

    Message Passing-based System Identification for NARMAX Models by Podusenko, Albert, Akbayrak, Semih, Senoz, Ismail, Schoukens, Maarten, Kouw, Wouter M.

    “…We present a variational Bayesian identification procedure for polynomial NARMAX models based on message passing on a factor graph. Message passing allows us…”
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    Conference Proceeding
  8. 8

    Information-Seeking Polynomial NARX Model-Predictive Control Through Expected Free Energy Minimization by Kouw, Wouter M.

    Published in IEEE control systems letters (01-01-2024)
    “…We propose an adaptive model-predictive controller that balances driving the system to a goal state and seeking system observations that are informative with…”
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    Journal Article
  9. 9

    Variational Bayes for Robust Radar Single Object Tracking by Sari, Alp, Kaneko, Tak, Swaenen, Lense H.M., Kouw, Wouter M.

    “…We address object tracking by radar and the robustness of the current state-of-the-art methods to process outliers. The standard tracking algorithms extract…”
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    Conference Proceeding
  10. 10

    Online Variational Message Passing in Hierarchical Autoregressive Models by Podusenko, Albert, Kouw, Wouter M., de Vries, Bert

    “…Hierarchical autoregressive (AR) models can describe many complex physical processes. Unfortunately, online adaptation in these models under non-stationary…”
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    Conference Proceeding
  11. 11

    Robust Importance-Weighted Cross-Validation Under Sample Selection Bias by Kouw, Wouter M., Krijthe, Jesse H., Loog, Marco

    “…Cross-validation under sample selection bias can, in principle, be done by importance-weighting the empirical risk. However, the importance-weighted risk…”
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    Conference Proceeding
  12. 12

    Bayesian Inference of Collision Avoidance Intent During Ship Encounters by Jia, Chengfeng, Ma, Jie, de Vries, Bert, Kouw, Wouter M.

    “…Ship collision accidents frequently cause casualties and significant property losses. These collisions mainly occur by incorrectly interpreting the intents of…”
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    Journal Article
  13. 13

    On regularization parameter estimation under covariate shift by Kouw, Wouter M., Loog, Marco

    “…This paper identifies a problem with the usual procedure for L 2 -regularization parameter estimation in a domain adaptation setting. In such a setting, there…”
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    Conference Proceeding
  14. 14

    Planning to avoid ambiguous states through Gaussian approximations to non-linear sensors in active inference agents by Kouw, Wouter M

    Published 03-09-2024
    “…In nature, active inference agents must learn how observations of the world represent the state of the agent. In engineering, the physics behind sensors is…”
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    Journal Article
  15. 15

    Information-seeking polynomial NARX model-predictive control through expected free energy minimization by Kouw, Wouter M

    Published 22-12-2023
    “…We propose an adaptive model-predictive controller that balances driving the system to a goal state and seeking system observations that are informative with…”
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    Journal Article
  16. 16

    Coupled autoregressive active inference agents for control of multi-joint dynamical systems by Nisslbeck, Tim N, Kouw, Wouter M

    Published 14-10-2024
    “…We propose an active inference agent to identify and control a mechanical system with multiple bodies connected by joints. This agent is constructed from…”
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    Journal Article
  17. 17

    Online system identification in a Duffing oscillator by free energy minimisation by Kouw, Wouter M

    Published 02-09-2020
    “…Online system identification is the estimation of parameters of a dynamical system, such as mass or friction coefficients, for each measurement of the input…”
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    Journal Article
  18. 18

    Target Robust Discriminant Analysis by Kouw, Wouter M, Loog, Marco

    Published 08-02-2021
    “…In practice, the data distribution at test time often differs, to a smaller or larger extent, from that of the original training data. Consequentially, the…”
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    Journal Article
  19. 19

    Bayesian grey-box identification of nonlinear convection effects in heat transfer dynamics by Kouw, Wouter M., Gruijthuijsen, Caspar, Blanken, Lennart, Evers, Enzo, Rogers, Timothy

    “…We propose a computational procedure for identifying convection in heat transfer dynamics. The procedure is based on a Gaussian process latent force model,…”
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    Conference Proceeding
  20. 20

    A review of domain adaptation without target labels by Kouw, Wouter M, Loog, Marco

    Published 24-07-2019
    “…Domain adaptation has become a prominent problem setting in machine learning and related fields. This review asks the question: how can a classifier learn from…”
    Get full text
    Journal Article