Recent advances in robot learning from demonstration
H Ravichandar, AS Polydoros… - Annual review of …, 2020 - annualreviews.org
In the context of robotics and automation, learning from demonstration (LfD) is the paradigm
in which robots acquire new skills by learning to imitate an expert. The choice of LfD over …
in which robots acquire new skills by learning to imitate an expert. The choice of LfD over …
Doing design thinking: Conceptual review, synthesis, and research agenda
Design thinking has attracted considerable interest from practitioners and academics alike,
as it offers a novel approach to innovation and problem‐solving. However, there appear to …
as it offers a novel approach to innovation and problem‐solving. However, there appear to …
[HTML][HTML] How AI revolutionizes innovation management–Perceptions and implementation preferences of AI-based innovators
The application of AI is expected to enable new opportunities for innovation management
and reshape innovation practice in organizations. Our exploratory study among 150 AI …
and reshape innovation practice in organizations. Our exploratory study among 150 AI …
[图书][B] Hands-on machine learning with R
B Boehmke, BM Greenwell - 2019 - taylorfrancis.com
Hands-on Machine Learning with R provides a practical and applied approach to learning
and developing intuition into today's most popular machine learning methods. This book …
and developing intuition into today's most popular machine learning methods. This book …
A quantitative discriminant method of elbow point for the optimal number of clusters in clustering algorithm
C Shi, B Wei, S Wei, W Wang, H Liu, J Liu - EURASIP journal on wireless …, 2021 - Springer
Clustering, a traditional machine learning method, plays a significant role in data analysis.
Most clustering algorithms depend on a predetermined exact number of clusters, whereas …
Most clustering algorithms depend on a predetermined exact number of clusters, whereas …
Studying configurations with qualitative comparative analysis: Best practices in strategy and organization research
Qualitative comparative analysis is increasingly applied in strategy and organization
research. The main purpose of our essay is to support this growing community of qualitative …
research. The main purpose of our essay is to support this growing community of qualitative …
An assessment of the use of partial least squares structural equation modeling (PLS-SEM) in hospitality research
Purpose Structural equation modeling (SEM) depicts one of the most salient research
methods across a variety of disciplines, including hospitality management. Although for …
methods across a variety of disciplines, including hospitality management. Although for …
Weakly-supervised disentanglement without compromises
Intelligent agents should be able to learn useful representations by observing changes in
their environment. We model such observations as pairs of non-iid images sharing at least …
their environment. We model such observations as pairs of non-iid images sharing at least …
Using fuzzy-set qualitative comparative analysis for a finer-grained understanding of entrepreneurship
Entrepreneurship theory has largely been developed and tested using symmetrical
correlational methods, effectively describing the sample-average respondent and …
correlational methods, effectively describing the sample-average respondent and …
Understanding platform business models: A mixed methods study of marketplaces
K Täuscher, SM Laudien - European management journal, 2018 - Elsevier
Recent technological advances have enabled the emergence of novel business models
based on digital platforms. Marketplace like Airbnb or Uber offer such digital platforms to …
based on digital platforms. Marketplace like Airbnb or Uber offer such digital platforms to …