Transfer and multi-task learning in QSAR modeling: advances and challenges
Medicinal chemistry projects involve some steps aiming to develop a new drug, such as the
analysis of biological targets related to a given disease, the discovery and the development …
analysis of biological targets related to a given disease, the discovery and the development …
Teaching by demonstration on dual-arm robot using variable stiffness transferring
Teaching by demonstration (TbD) techniques have been extensively investigated in the
recent decades to enable transferring various task skills from human to robots. The …
recent decades to enable transferring various task skills from human to robots. The …
Investigating the Impact of Experience on a User's Ability to Perform Hierarchical Abstraction
The field of Learning from Demonstration enables end-users, who are not robotics experts,
to shape robot behavior. However, using human demonstrations to teach robots to solve …
to shape robot behavior. However, using human demonstrations to teach robots to solve …
Multi-Fidelity Transfer Learning for Quantum Chemical Data Using A Robust Density Functional Tight Binding Baseline
M Cui, K Reuter, JT Margraf - 2024 - chemrxiv.org
Machine learning has revolutionized the development of interatomic potentials over the past
decade, offering unparalleled computational speed without compromising accuracy …
decade, offering unparalleled computational speed without compromising accuracy …
The Importance of knowledge exchange as a method to help farmers transition to sustainable farming methods and mitigate climate change.
R Willson - 2021 - pearl.plymouth.ac.uk
Climate change is among the world's greatest challenges in the 21st century. This research
aimed to evaluate the opportunities for knowledge exchange to support farmers in the …
aimed to evaluate the opportunities for knowledge exchange to support farmers in the …
[HTML][HTML] Towards Automatically Correcting Robot Behavior Using Non-Expert Feedback
S van Waveren - 2022 - diva-portal.org
Robots that operate in human environments need the capability to adapt their behavior to
new situations. Most robots so far rely on pre-programmed behavior or machine learning …
new situations. Most robots so far rely on pre-programmed behavior or machine learning …
[ΒΙΒΛΙΟ][B] Learning from Human Demonstration
B Packard - 2018 - search.proquest.com
Learning from demonstration (LfD) is a branch of machine learning that focuses on learning
how to perform a given task by observing a demonstrator perform one or several …
how to perform a given task by observing a demonstrator perform one or several …