Results 1 to 10 of about 3,377 (218)

Learning to differentiate

open access: yesJournal of Computational Physics, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Oskar Ålund   +2 more
openaire   +4 more sources

Differential Machine Learning [PDF]

open access: yesSSRN Electronic Journal, 2020
Differential machine learning combines automatic adjoint differentiation (AAD) with modern machine learning (ML) in the context of risk management of financial Derivatives. We introduce novel algorithms for training fast, accurate pricing and risk approximations, online, in real-time, with convergence guarantees.
Brian Huge, Antoine Savine
openaire   +3 more sources

Differentiated Learning : The Implementation of Student Sensory Learning Styles in Creating Differentiated Content

open access: yesJurnal Paedagogy, 2023
This research aims to explore the implementation of students' sensory learning styles in creating differentiated content and the factors that contribute to it. The research method used was a case study with a qualitative approach.
Erna Sulistianingrum   +3 more
doaj   +1 more source

Continual Learning with Differential Privacy [PDF]

open access: yes, 2021
The paper will appear at ...
Pradnya Desai   +3 more
openaire   +3 more sources

Differential Temporal Difference Learning [PDF]

open access: yesIEEE Transactions on Automatic Control, 2021
Value functions derived from Markov decision processes arise as a central component of algorithms as well as performance metrics in many statistics and engineering applications of machine learning techniques. Computation of the solution to the associated Bellman equations is challenging in most practical cases of interest.
Adithya M. Devraj   +2 more
openaire   +3 more sources

Learning Differentially Private Mechanisms [PDF]

open access: yes2021 IEEE Symposium on Security and Privacy (SP), 2021
Differential privacy is a formal, mathematical definition of data privacy that has gained traction in academia, industry, and government. The task of correctly constructing differentially private algorithms is non-trivial, and mistakes have been made in foundational algorithms.
Subhajit Roy 0001   +2 more
openaire   +3 more sources

Intra-school differentiation in primary education of Ukraine (1975-1990s): Achievements and disappointments in a historical perspective

open access: yesRicerche di Pedagogia e Didattica, 2023
The article examines the issue of intra-school differentiation (Ukr. Transl. ‘внутрішньошкільна диференціація’) in primary education, actualized in the early 70s of the 20th century in Ukraine.
Tetiana Havrylenko
doaj   +1 more source

Actualization of Principal Instructional Leadership in the Implementation of Differentiated Learning to Realize Students’ Well-Being

open access: yesJurnal Kependidikan, 2023
This study aims to reveal the actualization of the principal's instructional leadership in carrying out differentiated learning that embodies students' well-being.
Nunuk Hariyati   +4 more
doaj   +1 more source

Learning With Differential Privacy [PDF]

open access: yes, 2020
The leakage of data might have an extreme effect on the personal level if it contains sensitive information. Common prevention methods like encryption-decryption, endpoint protection, intrusion detection systems are prone to leakage. Differential privacy comes to the rescue with a proper promise of protection against leakage, as it uses a randomized ...
Poushali Sengupta   +2 more
openaire   +2 more sources

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