Linear motor motion control using a learning feedforward controller [PDF]
, 1997 The design and realization of an online learning motion controller for a linear motor is presented, and its usefulness is evaluated. The controller consists of two components: (1) a model-based feedback component, and (2) a learning feedforward component.
de Vries, Theodorus J.A. +5 more
core +4 more sources
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
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
Approximate Autonomous Quantum Error Correction with Reinforcement Learning
Physical Review Letters, 2023 Autonomous quantum error correction (AQEC) protects logical qubits by engineered dissipation and thus circumvents the necessity of frequent, error-prone measurement-feedback loops. Bosonic code spaces, where single-photon loss represents the dominant source of error, are promising candidates for AQEC due to their flexibility and controllability.
Yexiong Zeng +4 more
openaire +3 more sources
STUDENTS’ ERROR ANALYSIS ON LINEAR PROGRAM BASED ON THE KIAT MODEL AND STUDENTS’ LEARNING INTEREST
Kalamatika, 2022 KIAT categorizes three types of mistakes: conceptual, procedural, and technical errors. This study analyzes student errors in solving mathematical problems on linear programming material based on student learning interests.
Jefrizal Hasyim +2 more
doaj +1 more source
Performance Dynamics and Termination Errors in Reinforcement Learning: A Unifying Perspective
, 2019 In reinforcement learning, a decision needs to be made at some point as to whether it is worthwhile to carry on with the learning process or to terminate it.
Kuang, Nikki Lijing +1 more
core +1 more source
Learning From Complexity: Effects Of Prior Accidents And Incidents On Airlines' Learning [PDF]
, 2002 Using data on accidents and incidents experienced by U.S. commercial airlines from 1983 to 1997, we investigated variation in firm learning by examining whether firms learn more from errors with heterogeneous or homogeneous causes.
Haunschild, P. R., Sullivan, B. N.
core +1 more source
Quantum Identity-Based Encryption from the Learning with Errors Problem
Cryptography, 2022 To prevent eavesdropping and tampering, network security protocols take advantage of asymmetric ciphers to establish session-specific shared keys with which further communication is encrypted using symmetric ciphers.
Wenhua Gao +3 more
doaj +1 more source
The different time course of phonotactic constraint learning in children and adults : evidence from speech errors [PDF]
, 2017 Speech errors typically respect the speaker’s implicit knowledge of language-wide phonotactics (e.g., /ŋ/ cannot be a syllable onset in the English language).
Duyck, Wouter +3 more
core +1 more source
Automatic error function learning with interpretable compositional networks
Annals of Mathematics and Artificial Intelligence, 2023 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Richoux, Florian +1 more
openaire +2 more sources