Results 41 to 50 of about 7,339,380 (346)
Machine Learning and Computational Mathematics [PDF]
Communications in Computational Physics, 2020 Neural network-based machine learning is capable of approximating functions in very high dimension with unprecedented efficiency and accuracy. This has opened up many exciting new possibilities, not just in traditional areas of artificial intelligence, but also in scientific computing and computational science.
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The Mathematics of Learning: Dealing with Data * [PDF]
2005 International Conference on Neural Networks and Brain, 2005 Summary: A key to extracting useful information from large quantities of data is to program machines to learn from examples. The authors outline the mathematical foundations of learning theory and describe one important algorithm.
Poggio, Tomaso, Smale, Steve
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Learning mathematics with CAS [PDF]
, 1995 To say that the use of a Computer Algebra System (CAS) will revolutionize the learning of Mathematics has become a common place remark. However, main research into the implications of CAS on teaching and learning is either theoretical, with no classroom examples, or practical without any general views.
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Machine-learning mathematical structures
International Journal of Data Science in the Mathematical Sciences, 2022 We review, for a general audience, a variety of recent experiments on extracting structure from machine-learning mathematical data that have been compiled over the years. Focusing on supervised machine-learning on labeled data from different fields ranging from geometry to representation theory, from combinatorics to number theory, we present a ...
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Digital technology in mathematics education: Why it works (or doesn't) [PDF]
, 2012 The integration of digital technology confronts teachers, educators and researchers with many questions. What is the potential of ICT for learning and teaching, and which factors are decisive in making it work in the mathematics classroom? To investigate
Drijvers, Paul +3 more
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Modelling stem cell differentiation related processes—A practical overview for biologists
FEBS Letters, EarlyView.Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
THE MATHEMATICS LEARNING MODEL’S FOR EARLY GRADE STUDENTS: CONTEXTUAL OR PROBLEM-BASED LEARNING
Aksioma: Jurnal Program Studi Pendidikan Matematika, 2020 This research aimed to know the appropriate learning model was applied in early grade mathematics learning by showed the differences in mathematics learning outcomes of students who use contextual teaching-learning and problem-based learning.
Moh. Farizqo Irvan +2 more
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ISLAMIC VALUES IN MATHEMATICS LEARNING THROUGH THE REALISTIC MATHEMATICS EDUCATION (RME) MODEL
Aksioma: Jurnal Program Studi Pendidikan Matematika, 2021 Mathematics is one of the subjects that are less attractive to students who attend Islamic boarding schools. They assume that mathematics has nothing to do with Islamic values.
Ukhti Raudhatul Jannah +2 more
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Molecular Oncology, EarlyView.Single‐cell multi‐omics reveals epigenetic heterogeneity across therapy‐adaptive tumor states, including quiescent/dormant, drug‐tolerant persister, and EMT‐like phenotypes. By linking regulatory features with state‐associated biomarkers, these approaches inform biomarker‐guided therapeutic strategies for evolving tumors.
Hee Jung Kim +3 more
wiley +1 more source
Jurnal Pendidikan Matematika dan IPA, 2019 The aim of the research was to find out the effect of learning models on mathematics achievement viewed from the student learning style. The learning model compared were snowball throwing and NHT (Numbered Head Together).
Nurina Kurniasari Rahmawati +1 more
doaj +1 more source