Results 151 to 160 of about 646,720 (313)

Learning Hierarchical Interactions at Scale: A Convex Optimization Approach

, 2021
In many learning settings, it is beneficial toaugment the main features with pairwise in-teractions. Such interaction models can beoften enhanced by performing variable selec-tion under the so-calledstrong hierarchycon-straint: an interaction is ...
Mazumder, Rahul, Hazimeh, Hussein
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A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam, Anthony Siming Chen, Guido Herrmann   +2 more
wiley   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Semi-supervised meta-learning elucidates understudied molecular interactions

Communications Biology
Many biological problems are understudied due to experimental limitations and human biases. Although deep learning is promising in accelerating scientific discovery, its power compromises when applied to problems with scarcely labeled data and data ...
You Wu, Li Xie, Yang Liu, Lei Xie
doaj   +1 more source

Interactive Learning of Algorithms

, 2004
Visualization is believed to be an effective technique for learning and understanding algorithms in traditional computer science. In this paper, we focus on parallel computing and algorithms. An inherent difficulty with parallel programming is that it requires synchronization and coordination of the concurrent activities.
openaire   +2 more sources

Interactive Learning

, 2012
Im Sinne des maschinellen Lernens ist im Rahmen dieser Arbeit ein interaktives Trainingssystem entstanden, welches dem Benutzer ermöglicht, erworbenes Wissen in den Trainingsprozess einzubringen. Trainiert wird dabei ein Kaskadenklassifikator anhand von Videodaten. Es existieren viele Systeme für das Training eines Klassifikators.
openaire   +4 more sources

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Multimedia learning designs: using authentic learning interactions in medicine, dentistry, and health sciences

, 2008
This chapter describes the learning design of two multimedia modules which complement a problem-based learning health sciences curriculum. The use of student-centred, authentic learning design frameworks guide academics and instructional designers in the
Keppell, Mike, O'Connor, Vivienne, Brearley-Messer, Louise, Bione, Heather, Hegarty, Kelsey, Kan, Karen, Kerse, Ngaire, Gunn, Jane   +7 more
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Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

Advanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky, Marcelo Sallese, Leander Kläber, Clemens Kuhn, Keming Du, Andrés Fabián Lasagni   +5 more
wiley   +1 more source

Evaluation of Evidence-Based Practices in Online Learning: A Meta-Analysis and Review of Online Learning Studies [PDF]

, 2009
A systematic search of the research literature from 1996 through July 2008 identified more than a thousand empirical studies of online learning. Analysts screened these studies to find those that (a) contrasted an online to a face-to-face condition, (b ...
Toyama, Yuki, Bakia, Marianne, Jones, Karla, Means, Barbara, Murphy, Robert   +4 more
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