Results 41 to 50 of about 380,311 (263)
We present a model of learning in which agents learn from errors. If an action turns out to be an error, the agent rejects not only that action but also neighboring actions. We find that, keepng memory of his errors, under mild assumptions an acceptable solution is asymptotically reached.
Juan Enrique Martinez-Legaz +1 more
openaire +1 more source
Modelling stem cell differentiation related processes—A practical overview for biologists
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
NEWMAN ERROR ANALYSIS (NEA): DETECTION OF STUDENT LEARNING BARRIERS IN PPKM IN MATHEMATICS SUBJECTS
The research aims to analyze students' mistakes in solving straight-line equations and then find the learning barriers experienced during distance learning conducted in the 8th grade of a superior private junior high school in Surakarta City.
Sutama Sutama, Yuni Putri Indriyani
doaj +1 more source
Design and analysis strategies for robust microbiome ageing research
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
Efficient Leveled (Multi) Identity-Based Fully Homomorphic Encryption Schemes
The first identity-based fully homomorphic encryption (IBFHE) scheme was constructed from identity-based encryption (IBE) and lattice-based cryptography by Gentry, Sahai, and Waters in CRYPTO 2013. Their IBFHE scheme is improved in this paper, exploiting
Tongchen Shen +4 more
doaj +1 more source
Inner product encryption from ring learning with errors
The functional encryption scheme designed using the lattice can realize fine-grained encryption and it can resist quantum attacks. Unfortunately, the sizes of the keys and ciphertexts in cryptographic applications based on learning with errors are large,
Shisen Fang, Shaojun Yang, Yuexin Zhang
doaj +1 more source
Learning Communities in the Presence of Errors
34 pages.
Konstantin Makarychev +2 more
openaire +3 more sources
This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska +13 more
wiley +1 more source
A Hybrid of Dual and Meet-in-the-Middle Attack on Sparse and Ternary Secret LWE
The dual attack is one of the most efficient attack algorithms for learning with errors (LWE) problem. Recently, an efficient variant of the dual attack for sparse and small secret LWE was reported by Albrecht (Eurocrypt 2017), which forces some LWE ...
Jung Hee Cheon +3 more
doaj +1 more source
Uncertainty-guided learning with scaled prediction errors in the basal ganglia.
To accurately predict rewards associated with states or actions, the variability of observations has to be taken into account. In particular, when the observations are noisy, the individual rewards should have less influence on tracking of average reward,
Moritz Möller +2 more
doaj +1 more source

