Results 41 to 50 of about 440,724 (260)

Best-Choice Edge Grafting for Efficient Structure Learning of Markov Random Fields

, 2018
Incremental methods for structure learning of pairwise Markov random fields (MRFs), such as grafting, improve scalability by avoiding inference over the entire feature space in each optimization step. Instead, inference is performed over an incrementally
Chaabene, Walid, Huang, Bert
core   +1 more source

ILAPF: Incremental Learning Assisted Particle Filtering

, 2018
This paper is concerned with dynamic system state estimation based on a series of noisy measurement with the presence of outliers. An incremental learning assisted particle filtering (ILAPF) method is presented, which can learn the value range of ...
Liu, Bin
core   +1 more source

Institutional Policies on Artificial Intelligence in Higher Education: Frameworks and Best Practices for Faculty

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT This article explores institutional policies on artificial intelligence (AI) in higher education. As AI tools become increasingly utilized in academia—from research and teaching to assessment and student support—institutions face growing pressure to establish clear, ethical, and practical guidelines to help guide faculty.
Lauren Azevedo, Pedro Robles, Eric Best, Daniel J. Mallinson   +3 more
wiley   +1 more source

Version [1.0.3] — [CACP: Classification Algorithms Comparison Pipeline]

SoftwareX
We present the first major release of the Classification Algorithms Comparison Pipeline (CACP). The proposed software enables one to compare newly developed classification algorithms in Python with other classifiers to evaluate classification performance
Sylwester Czmil, Jacek Kluska, Anna Czmil   +2 more
doaj   +1 more source

Incremental Learning for Robot Perception through HRI

, 2017
Scene understanding and object recognition is a difficult to achieve yet crucial skill for robots. Recently, Convolutional Neural Networks (CNN), have shown success in this task.
Jagersand, Martin, Perez, Camilo, Valipour, Sepehr   +2 more
core   +1 more source

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source

First‐Principles Modeling of Solid Solution Softening and Hardening Effects in Al–Mg–Zr–Si Aluminum Alloys

Advanced Engineering Materials, EarlyView.
The role of various alloying elements in face‐centered cubic aluminum on the barrier of a Shockley partial dislocation during its motion is presented. The study aims to understand how alloying atoms such as Mg, Si, and Zr affect the energy landscape for dislocation motion, thus influencing the solid solution hardening and softening in aluminum, which ...
Inna Plyushchay, Zhengqing Wei, Nebahat Bulut, Sibylle Gemming   +3 more
wiley   +1 more source

DIA-TSK: A Dynamic Incremental Adaptive Takagi–Sugeno–Kang Fuzzy Classifier

Mathematics
In order to continuously adapt to dynamic data distributions, existing incremental and online learning methods adopt bagging or boosting structures, in which some sub-classifiers are abandoned when the data distribution varies significantly in the ...
Hao Chen, Chenhui Sha, Mingqing Jiao, Changbin Shao, Shang Gao, Hualong Yu, Bin Qin   +6 more
doaj   +1 more source

Micromechanical Characterization of 316L‐V4E Steel Transitions Produced by Electron Beam Powder Bed Fusion with Dual‐Hopper Alternating Layer Strategy

Advanced Engineering Materials, EarlyView.
This work applies High‐Speed Nanoindentation to study multi‐material transitions in powder bed fusion–electron beam melting components. The aim is to assess the mechanical gradients and interfacial behavior between American iron and steel institute 316L stainless steel and V4E tool steel in additively manufactured structures.
Laia Ortiz‐Membrado, William Sjöström, Francesc Barberà Flichi, Carlos Botero, Anton S. Tremsin, Antonio Mateo, Emilio Jiménez‐Piqué   +6 more
wiley   +1 more source

Magnetoactive Metamaterials: A State‐of‐the‐Art Review

Advanced Engineering Materials, EarlyView.
Magnetoactive metamaterials combine magnetoactive composites with architected metastructures to enable contactless, tunable control of mechanical, acoustic, and elastic properties. This review highlights recent advances in their design, fabrication, and applications in soft robotics, biomedical devices, and adaptive structures and outlines future ...
Seyyedmohammad Aghamiri, Ramin Sedaghati
wiley   +1 more source