Results 61 to 70 of about 12,936,285 (295)
A Computational Theory for Life-Long Learning of Semantics [PDF]
, 2018 Semantic vectors are learned from data to express semantic relationships between elements of information, for the purpose of solving and informing downstream tasks. Other models exist that learn to map and classify supervised data. However, the two worlds of learning rarely interact to inform one another dynamically, whether across types of data or ...
Peter Sutor Jr. +2 more
openaire +3 more sources
Arthritis Care &Research, Accepted Article.Objective High body mass index (BMI≥27 kg/m2) and aberrant gait biomechanics are primary risk factors for knee osteoarthritis (KOA), yet the specific loading patterns linked to clinical disease features remain unclear. Unsupervised machine learning (ML) was used to identify vertical ground reaction force (vGRF) waveform modes of variation and ...
Ashley N. Buck +10 more
wiley +1 more source
Jurnal EdusciencePurpose – This study aims to analyze students' computational thinking skills in solving problems in ring theory material and to describe their thinking processes using computational thinking indicators.
Nur Rahmi Rizqi +4 more
doaj +1 more source
Открытое образование (Москва), 2020 Today, one of the highly discussed topics is the impact of global digitalization on the evolution of humankind. Although the widespread introduction of digital technology is considered to be effective and profitable, it requires competitive professionals,
M. U. Mukasheva, Y. V. Payevskaya
doaj +1 more source
Mathematical and Computational Foundations of Learning Theory (Dagstuhl Seminar 11291)
, 2011 The main goal of the seminar ``Mathematical and Computational Foundations of Learning Theory'' was to bring together experts from computer science, mathematics and statistics to discuss the state of the art in machine learning broadly construed and ...
Hein, Matthias +3 more
core +1 more source
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 +2 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares +3 more
wiley +1 more source
Recent Advances of Deep Learning in Bioinformatics and Computational Biology
Frontiers in Genetics, 2019 Extracting inherent valuable knowledge from omics big data remains as a daunting problem in bioinformatics and computational biology. Deep learning, as an emerging branch from machine learning, has exhibited unprecedented performance in quite a few ...
Binhua Tang +4 more
doaj +1 more source
A systematic review of learning theory on computational thinking
, 2020 Link to publisher's homepage at https://johdec.unimap.edu.my/This paper reviews systematically theory used in the past studies on computational thinking, learning theory used in past studies on computational thinking and explore how these learning ...
Wan Ahmad Jaafar, Wan Yahaya +1 more
core
Entropy‐Driven Design of Low‐Melting‐Point Alloys via Compositionally Complex Strategy
Advanced Engineering Materials, EarlyView.Conventional low‐melting‐point alloys (LMPAs) are limited by a narrow compositional space and inherent property trade‐offs. This review presents an entropy‐driven design strategy that overcomes these limitations, ushering in a new class of low‐melting‐point compositionally complex alloys (LMCCAs).
Yinghui Shang +6 more
wiley +1 more source