Publication

Active Learning of Bayesian Probabilistic Movement Primitives

Related publications (36)

About
Privacy
Disclaimer

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Active Learning of Bayesian Probabilistic Movement Primitives

Graph Chatbot

Chat with Graph Search

Active Improvement of Control Policies with Bayesian Gaussian Mixture Model

Informative sample generation using class aware generative adversarial networks for classification of chest Xrays

Learning Approach to Delineation of Curvilinear Structures in 2D and 3D Images

DeepFly3D, a deep learning-based approach for 3D limb and appendage tracking in tethered, adult Drosophila

Efficient Active Learning for Image Classification and Segmentation using a Sample Selection and Conditional Generative Adversarial Network

Active Interdisciplinary Learning in a Design Thinking Course: Going to Class for a Reason

Lower Bounds on Active Learning for Graphical Model Selection

Learning Active Learning from Data

Active Learning and Proofreading for Delineation of Curvilinear Structures

Agile, Versatile, and Comprehensive Social Media Platform for Creating, Sharing, Exploiting, and Archiving Personal Learning Spaces, Artifacts, and Traces