Transitioning from rich to lean reinforcement as a form of error correction.
Sign Up to like & getrecommendations! Published in 2020 at "Journal of applied behavior analysis"
DOI: 10.1002/jaba.717
Abstract: Discrete trial instruction (DTI) is a ubiquitous tool used by practitioners in early intervention programs. A common approach to correcting errors during DTI involves providing a single prompt of the target response when a mistake… read more here.
Keywords: rich lean; response; lean reinforcement; error correction ... See more keywords
Quantum error correction and holographic information from bilocal holography
Sign Up to like & getrecommendations! Published in 2021 at "Journal of High Energy Physics"
DOI: 10.1007/jhep11(2021)192
Abstract: Abstract Bilocal holography is a constructive approach to the higher spin theory holographically dual to O(N ) vector models. In contrast to other approaches to bulk reconstruction, bilocal holography does not take input from the… read more here.
Keywords: bulk; degrees freedom; holography; error correction ... See more keywords
Real-word error correction with trigrams: correcting multiple errors in a sentence
Sign Up to like & getrecommendations! Published in 2018 at "Language Resources and Evaluation"
DOI: 10.1007/s10579-017-9397-4
Abstract: Spelling correction is a fundamental task in text mining. In this study, we assess the real-word error correction model proposed by Mays, Damerau and Mercer and describe several drawbacks of the model. We propose a… read more here.
Keywords: word error; correcting multiple; error correction; correction ... See more keywords
Efficient Decoding Scheme of Non-Uniform Concatenation Quantum Code with Deep Neural Network
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Theoretical Physics"
DOI: 10.1007/s10773-020-04706-8
Abstract: How to design a universal fault-tolerant quantum computation protocol with high fidelity and low resource consumption is a hot topic in the field of quantum computing research. By reducing the effective code distance, the design… read more here.
Keywords: deep neural; concatenation; efficient decoding; error correction ... See more keywords
Error correction schemes for fully correlated quantum channels protecting both quantum and classical information
Sign Up to like & getrecommendations! Published in 2020 at "Quantum Information Processing"
DOI: 10.1007/s11128-020-02639-z
Abstract: We study efficient quantum error correction schemes for the fully correlated channel on an n -qubit system with error operators that assume the form $$\sigma _x^{\otimes n}$$ σ x ⊗ n , $$\sigma _y^{\otimes n}$$… read more here.
Keywords: sigma; error correction; sigma otimes; otimes rho ... See more keywords
Short-term electrical load forecasting based on error correction using dynamic mode decomposition
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DOI: 10.1016/j.apenergy.2019.114368
Abstract: Accurate short-term load forecasting (STLF) is an important basis for daily dispatching of the power grid, but the non-stationary characteristics of the load series add to the challenge of this task. Many researchers have been… read more here.
Keywords: error; short term; load forecasting; error correction ... See more keywords
Beidou wide-area augmentation system clock error correction and performance verification
Sign Up to like & getrecommendations! Published in 2020 at "Advances in Space Research"
DOI: 10.1016/j.asr.2020.02.010
Abstract: Abstract On December 27, 2018, the Beidou-3 System (BDS-3) has completed the deployment of 18 Medium Earth Orbit (MEO) satellites combined as a space constellation. In addition to the augmentation information for the new system… read more here.
Keywords: system; error; error correction; clock error ... See more keywords
Research and application of a novel hybrid decomposition-ensemble learning paradigm with error correction for daily PM 10 forecasting
Sign Up to like & getrecommendations! Published in 2018 at "Atmospheric Research"
DOI: 10.1016/j.atmosres.2017.10.009
Abstract: Abstract In this paper, a hybrid decomposition-ensemble learning paradigm combining error correction is proposed for improving the forecast accuracy of daily PM 10 concentration. The proposed learning paradigm is consisted of the following two sub-models:… read more here.
Keywords: error; error correction; model; learning paradigm ... See more keywords
The air quality index trend forecasting based on improved error correction model and data preprocessing for 17 port cities in China.
Sign Up to like & getrecommendations! Published in 2020 at "Chemosphere"
DOI: 10.1016/j.chemosphere.2020.126474
Abstract: Air pollution are known to have negative impacts on human health and the ecosystem, and it also contributes to climate change. Hence, prevention and control of air pollution is an urgent need in China, and… read more here.
Keywords: air; correction model; model; error correction ... See more keywords
A hybrid model based on data preprocessing strategy and error correction system for wind speed forecasting
Sign Up to like & getrecommendations! Published in 2020 at "Energy Conversion and Management"
DOI: 10.1016/j.enconman.2020.112779
Abstract: Abstract Wind speed forecasting is crucial in exploiting wind energy and integrating power grid. This study presents a novel hybrid model, which includes decomposition module with real-time decomposition strategy, forecasting module and error correction module.… read more here.
Keywords: error; model; wind speed; error correction ... See more keywords
Intelligent merging unit: DSE-based online instrumentation channel error correction
Sign Up to like & getrecommendations! Published in 2021 at "Electric Power Systems Research"
DOI: 10.1016/j.epsr.2021.107468
Abstract: Abstract This paper proposes an online instrumentation channel error correction method based on weighted least square-dynamic state estimation (WLS-DSE), which can be integrated within Merging Unit (MU). It derives the mathematical dynamic device models of… read more here.
Keywords: error correction; instrumentation channel; channel;