A Comparison of the Mechanical Properties of ECM Components and Synthetic Self‐Assembling Peptides
Self‐assembling peptide hydrogels are increasingly utilized in biomedical applications. The authors review the key mechanical properties of these structures across multiple size scales and compare them to that of native extracellular matrix components, which are found to display a much wider range of structural attributes.
Alex Hartley+2 more
wiley +1 more source
Multiple thresholds and trajectories of microbial biodiversity predicted across browning gradients by neural networks and decision tree learning. [PDF]
Fontaine L+6 more
europepmc +1 more source
Batched Lazy Decision Trees [PDF]
We introduce a batched lazy algorithm for supervised classification using decision trees. It avoids unnecessary visits to irrelevant nodes when it is used to make predictions with either eagerly or lazily trained decision trees. A set of experiments demonstrate that the proposed algorithm can outperform both the conventional and lazy decision tree ...
arxiv
A Bio‐Inspired Perspective on Materials Sustainability
This perspective discusses natural materials as inspiration for sustainable engineering designs and the processing of materials. First, circularity, longevity, parsimony, and activity are presented as essential material paradigms. The perspective then uses many examples of natural and technical materials to introduce principles such as oligo ...
Wolfgang Wagermaier+2 more
wiley +1 more source
Boosting-Based Sequential Meta-Tree Ensemble Construction for Improved Decision Trees [PDF]
A decision tree is one of the most popular approaches in machine learning fields. However, it suffers from the problem of overfitting caused by overly deepened trees. Then, a meta-tree is recently proposed. It solves the problem of overfitting caused by overly deepened trees.
arxiv
Learning decision trees using the Fourier spectrum [PDF]
Eyal Kushilevitz, Yishay Mansour
openalex +1 more source
Reversible protonic ceramic electrochemical cells (R‐PCECs) face challenges from sluggish and unstable oxygen reduction and evolution reactions in the air electrode. This review discusses recent progress in triple‐conducting air electrodes, emphasizing mechanisms, performance factors, and design strategies, offering guidance for creating efficient and ...
Xi Chen+8 more
wiley +1 more source
An Algorithmic Framework for Constructing Multiple Decision Trees by Evaluating Their Combination Performance Throughout the Construction Process [PDF]
Predictions using a combination of decision trees are known to be effective in machine learning. Typical ideas for constructing a combination of decision trees for prediction are bagging and boosting. Bagging independently constructs decision trees without evaluating their combination performance and averages them afterward.
arxiv
Verifiable Reinforcement Learning via Policy Extraction [PDF]
While deep reinforcement learning has successfully solved many challenging control tasks, its real-world applicability has been limited by the inability to ensure the safety of learned policies. We propose an approach to verifiable reinforcement learning by training decision tree policies, which can represent complex policies (since they are ...
arxiv
Learning kμ decision trees on the uniform distribution [PDF]
Thomas R. Hancock
openalex +1 more source