Results 11 to 20 of about 9,437,008 (290)
Bayesian Generative Active Deep Learning
CoRR, 2019 Deep learning models have demonstrated outstanding performance in several problems, but their training process tends to require immense amounts of computational and human resources for training and labeling, constraining the types of problems that can be tackled.
Tran, Toan +3 more
openaire +5 more sources
Active learning for segmentation based on Bayesian sample queries [PDF]
Knowledge-Based Systems, 2021 Segmentation of anatomical structures is a fundamental image analysis task for many applications in the medical field. Deep learning methods have been shown to perform well, but for this purpose large numbers of manual annotations are needed in the first place, which necessitate prohibitive levels of resources that are often unavailable.
Christine Tanner +2 more
exaly +4 more sources
Molecular property prediction using pretrained-BERT and Bayesian active learning: a data-efficient approach to drug design [PDF]
Journal of CheminformaticsIn drug discovery, prioritizing compounds for experimental testing is a critical task that can be optimized through active learning by strategically selecting informative molecules. Active learning typically trains models on labeled examples alone, while
Muhammad Arslan Masood +2 more
doaj +2 more sources
Introducing Bayesian Analysis With m&m's®: An Active-Learning Exercise for Undergraduates
Journal of Statistics Education, 2019 We present an active-learning strategy for undergraduates that applies Bayesian analysis to candy-covered chocolate m&m’s®. The exercise is best suited for small class sizes and tutorial settings, after students have been introduced to the concepts of ...
Gwendolyn Eadie +3 more
doaj +2 more sources
High-Accuracy Off-Grid Sparse Bayesian Learning with Reliability-Guided Inference for Direction-of-Arrival Estimation [PDF]
SensorsOff-grid direction-of-arrival (DOA) estimation based on sparse Bayesian learning (SBL) can alleviate angular discretization mismatch, but its practical performance may be affected by unreliable posterior relevance statistics, sensitivity of effective ...
Wenchao He +3 more
doaj +2 more sources
Analyzing and supporting mental representations and strategies in solving Bayesian problems [PDF]
Frontiers in PsychologySolving Bayesian problems poses many challenges, such as identifying relevant numerical information, classifying and translating it into mathematical formula language, and forming a mental representation.
Julia Sirock, Markus Vogel, Tina Seufert
doaj +2 more sources
Bayesian Active Learning for Censored Regression
Bayesian active learning is based on information theoretical approaches that focus on maximising the information that new observations provide to the model parameters. This is commonly done by maximising the Bayesian Active Learning by Disagreement (BALD) acquisitions function.
Frederik Boe Hüttel +3 more
openaire +3 more sources
Bayesian active learning with abstention feedbacks [PDF]
Neurocomputing, 2022 Poster presented at 2019 ICML Workshop on Human in the Loop Learning 2019 (non-archival).
Cuong V. Nguyen +4 more
openaire +4 more sources
Bayesian Active Learning with Fully Bayesian Gaussian Processes
Advances in Neural Information Processing Systems 35, 2022 The bias-variance trade-off is a well-known problem in machine learning that only gets more pronounced the less available data there is. In active learning, where labeled data is scarce or difficult to obtain, neglecting this trade-off can cause inefficient and non-optimal querying, leading to unnecessary data labeling.
Christoffer Riis +4 more
openaire +6 more sources
An automation system for vehicle driveability evaluation using machine learning
Nihon Kikai Gakkai ronbunshu, 2022 The drivability is one of the important aspects of vehicle dynamic performances. To ensure quality of the drivability performance, comprehensive screening evaluation is necessary by controlling both complicated driver operation and vehicle behavior ...
Hisashi TAJIMA +4 more
doaj +1 more source