As a well-known Bayesian network structure learning algorithm in equivalence class space (E-space), Greedy equivalence search (GES) is used in many fields. However, it encounters high complexity when ...

Understanding factors contributing to rapid speciation is a key aim of evolutionary biology. Here, we focus on two rapid radiations of Neotropical butterflies. Our genomic data with broad taxonomic ...

Non-negative matrix factorization (NMF) is an unsupervised learning method well suited to high-throughput biology. However, inferring biological processes from an NMF result still requires additional ...

A modern, PyTorch-based library for Bayesian changepoint detection in time series data. This library implements both online and offline methods with GPU acceleration support for high-performance ...

Semantic ELevation (SEL) map is a semantic Bayesian inferencing framework for real-time elevation mapping and terrain property estimation. The package takes the inputs from RGB-D cameras and robot ...

Not having access to compact and meaningful representations is known to significantly increase the complexity of reinforcement learning (RL). For this reason, it can be useful to perform state ...

Department of Physics and Warwick Centre for Predictive Modelling, School of Engineering, University of Warwick, Coventry CV4 7AL, United Kingdom Laboratory of Computational Science and Modeling, IMX, ...