Jack Kuipers

1. Efficient Sampling and Structure Learning of Bayesian Networks
   2018/03/21 by Jack Kuipers, Polina Suter, Kuipers, Jack +3 · 4 citations
   Computer Science · Decision Sciences · #Bayesian Modeling and Causal Inference #Computation (stat.CO) #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
2. Benchpress: A Scalable and Versatile Workflow for Benchmarking Structure Learning Algorithms
   2021/07/08 by Felix L. Rios, Rios, Felix L., Giusi Moffa +3 · 2 citations
   Computer Science · #Applications (stat.AP) #Bayesian Modeling and Causal Inference #Computation (stat.CO) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
3. Learning Bayesian Networks from Ordinal Data
   2020/10/29 by Xiang Ge Luo, Luo, Xiang Ge, Giusi Moffa +3 · 1 citation
   Computer Science · Mathematics · Psychology · #Bayesian Modeling and Causal Inference #Statistical Methods and Bayesian Inference #Mental Health Research Topics
4. Quaternions and Rotation Sequences
   2020/03/31 by Jack Kuipers · 2 citations
   Physics and Astronomy · Engineering · #Advanced Mathematical Theories and Applications #Scientific Research and Discoveries #Inertial Sensor and Navigation
5. Bayesian Causal Inference with Gaussian Process Networks
   2024/02/01 by Enrico Giudice, Jack Kuipers, Giudice, Enrico +3 · 1 citation
   Computer Science · #Bayesian Modeling and Causal Inference #Gaussian Processes and Bayesian Inference