Results 91 to 100 of about 686,580 (270)
Decision tree learning on very large data sets [PDF]
, 2002 Lawrence Hall +2 more
openalex +1 more source
Advanced Materials, EarlyView.Protonic ceramic electrolysis cells (PCECs) are a promising intermediate‐temperature hydrogen production technology, leveraging high proton conductivity in electrolytes yet constrained by insufficient catalytic activity and interfacial instability in fuel/air electrodes. This review systematically categorizes advanced electrode materials and critically
Zhipeng Liu +6 more
wiley +1 more source
Induction of Ordinal Decision Trees [PDF]
This paper focuses on the problem of monotone decision trees from the point of view of the multicriteria decision aid methodology (MCDA). By taking into account the preferences of the decision maker, an attempt is made to bring closer similar research ...
Bioch, J.C., Popova, V.
core +1 more source
Spin Engineering of Dual‐Atom Site Catalysts for Efficient Electrochemical Energy Conversion
Advanced Materials, EarlyView.This review highlights recent progress in spin engineering of dual‐atom site catalysts (DASCs), emphasizing how spin‐related properties enhance electrocatalytic activity, selectivity, and stability. It summarizes cutting‐edge developments in dual‐atom catalysis, discusses the underlying spin‐catalysis mechanisms and structure–performance relationships,
Dongping Xue +5 more
wiley +1 more source
Advanced Materials, EarlyView.This review explores the transformative role of AI in biosensor technology and provides a holistic interdisciplinary perspective that covers a broader scope of AI‐enabled biosensor technologies across various sectors including healthcare, environmental monitoring, food safety, and agriculture. It also highlights the important role of novel materials in
Tuğba Akkaş +4 more
wiley +1 more source
Binary Halftone Image Resolution Increasing by Decision Tree Learning [PDF]
, 2004 Hae Yong Kim
openalex +1 more source
Lazy Learning for Improving Ranking of Decision Trees
, 2006 Decision tree-based probability estimation has received great attention because accurate probability estimation can possibly improve classification accuracy and probability-based ranking. In this paper, we aim to improve probability-based ranking under decision tree paradigms using AUC as the evaluation metric. We deploy a lazy probability estimator at
Liang, H., Yan, Y.
openaire +3 more sources
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
Advanced Materials, EarlyView.This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
AI‐Driven Defect Engineering for Advanced Thermoelectric Materials
Advanced Materials, EarlyView.This review presents how AI accelerates the design of defect‐tuned thermoelectric materials. By integrating machine learning with high‐throughput data and physics‐informed representations, it enables efficient prediction of thermoelectric performance from complex defect landscapes.
Chu‐Liang Fu +9 more
wiley +1 more source
Robust Machine Learning Applied to Astronomical Data Sets. I. Star‐Galaxy Classification of the Sloan Digital Sky Survey DR3 Using Decision Trees [PDF]
, 2006 Nicholas M. Ball +3 more
openalex +1 more source