Results 21 to 30 of about 380,311 (263)
Annual Review of Psychology, 2017 Although error avoidance during learning appears to be the rule in American classrooms, laboratory studies suggest that it may be a counterproductive strategy, at least for neurologically typical students. Experimental investigations indicate that errorful learning followed by corrective feedback is beneficial to learning. Interestingly, the beneficial
openaire +2 more sources
Learning the Language of Software Errors
Journal of Artificial Intelligence Research, 2020 We propose to use algorithms for learning deterministic finite automata (DFA), such as Angluin’s L* algorithm, for learning a DFA that describes the possible scenarios under which a given program error occurs. The alphabet of this automaton is given by the user (for instance, a subset of the function call sites or branches), and ...
Hana Chockler +3 more
openaire +5 more sources
, 2022 AbstractLearning with error was proposed by O. Regev in 2005 (see Regev, 2009), which can be regarded as a dual form of SIS problem. LWE has very important applications in modern cryptography, such as LWE-based fully homomorphic encryption. The main purpose of this chapter is to explain the mathematical principles of the LWE problem in detail ...
Zhiyong Zheng, Kun Tian, Fengxia Liu
openaire +1 more source
On Quantum Chosen-Ciphertext Attacks and Learning with Errors
Cryptography, 2020 Large-scale quantum computing poses a major threat to classical public-key cryptography. Recently, strong “quantum access” security models have shown that numerous symmetric-key cryptosystems are also vulnerable.
Gorjan Alagic +3 more
doaj +1 more source
Quality and Safety in Health Care, 2006 Intervention to prevent errors in medication Medication errors remain a major problem owing to the complexity of the process of prescribing and giving drugs. Experience in the UK can be considered representative of the issues surrounding medication errors that can be found in many national health systems throughout the world.
openaire +2 more sources
Delegation of Decryption Rights With Revocability From Learning With Errors
IEEE Access, 2018 The notion of decryption rights delegation was initially introduced by Blaze et al. in EUROCRYPT 1998. It, defined as proxy re-encryption, allows a semi-trusted proxy to convert a ciphertext intended for a party to another ciphertext of the same ...
Wei Yin +6 more
doaj +1 more source
Faster Homomorphic Trace-Type Function Evaluation
IEEE Access, 2021 Homomorphic encryption enables computations over encrypted data without decryption, and can be used for outsourcing computations to some untrusted source.
Yu Ishimaki, Hayato Yamana
doaj +1 more source
Leveled Certificateless Fully Homomorphic Encryption Schemes From Learning With Errors
IEEE Access, 2020 Fully homomorphic encryption (FHE) is a form of public-key encryption that allows the computation of arbitrary functions on encrypted data without decrypting the data. As a result, it is a useful tool with numerous applications.
Mingxiang Li
doaj +1 more source
An MLWE-Based Cut-and-Choose Oblivious Transfer Protocol
EntropyThe existing lattice-based cut-and-choose oblivious transfer protocol is constructed based on the learning-with-errors (LWE) problem, which generally has the problem of inefficiency.
Yongli Tang +5 more
doaj +1 more source
Alifmatika, 2023 Errors often occurred when students solve mathematical problems solving, exceedingly when students are faced with contextual story problems. Newman's procedural error analysis classified errors in solved story problems into five categories: reading ...
Anas Ma'ruf Annizar, Dewi Fatma Kumala
doaj +1 more source