Search Results - "Kouw, Wouter M"
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A Review of Domain Adaptation without Target Labels
Published in IEEE transactions on pattern analysis and machine intelligence (01-03-2021)“…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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The data representativeness criterion: Predicting the performance of supervised classification based on data set similarity
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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Message Passing-Based Inference for Time-Varying Autoregressive Models
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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On Epistemics in Expected Free Energy for Linear Gaussian State Space Models
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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Robust domain-adaptive discriminant analysis
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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Multiple Variational Kalman-GRU for Ship Trajectory Prediction With Uncertainty
Published in IEEE transactions on aerospace and electronic systems (03-11-2024)“…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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Message Passing-based System Identification for NARMAX Models
Published in 2022 IEEE 61st Conference on Decision and Control (CDC) (06-12-2022)“…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 -
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Information-Seeking Polynomial NARX Model-Predictive Control Through Expected Free Energy Minimization
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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Variational Bayes for Robust Radar Single Object Tracking
Published in 2022 IEEE Workshop on Signal Processing Systems (SiPS) (02-11-2022)“…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 -
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Online Variational Message Passing in Hierarchical Autoregressive Models
Published in 2020 IEEE International Symposium on Information Theory (ISIT) (01-06-2020)“…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
Robust Importance-Weighted Cross-Validation Under Sample Selection Bias
Published in 2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP) (01-10-2019)“…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
Bayesian Inference of Collision Avoidance Intent During Ship Encounters
Published in IEEE transactions on automation science and engineering (02-04-2024)“…Ship collision accidents frequently cause casualties and significant property losses. These collisions mainly occur by incorrectly interpreting the intents of…”
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13
On regularization parameter estimation under covariate shift
Published in 2016 23rd International Conference on Pattern Recognition (ICPR) (01-12-2016)“…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
Planning to avoid ambiguous states through Gaussian approximations to non-linear sensors in active inference agents
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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15
Information-seeking polynomial NARX model-predictive control through expected free energy minimization
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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16
Coupled autoregressive active inference agents for control of multi-joint dynamical systems
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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Online system identification in a Duffing oscillator by free energy minimisation
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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18
Target Robust Discriminant Analysis
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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Bayesian grey-box identification of nonlinear convection effects in heat transfer dynamics
Published in 2024 IEEE Conference on Control Technology and Applications (CCTA) (21-08-2024)“…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
A review of domain adaptation without target labels
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…”
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Journal Article