[PDF] Top 20 A Double-Error Correction Computational Model of Learning
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A Double-Error Correction Computational Model of Learning
... mediated learning through mechanisms different from alterations in the associative learning ...comparator model for instance produces retrospective revaluation through the competition of associative ... See full document
279
Optimizing Quantum Error Correction Codes with Reinforcement Learning
... Before we further go into detail on our numerical study focussing on setups with the full flexibility required to implement the moves in Fig. 3, let us briefly consider the implications of the variations in hardware of ... See full document
21
Grammatical Error Correction with Neural Reinforcement Learning
... encoder-decoder model toward our final objective for GEC using reinforcement ...reinforcement learning, agents aim to maximize expected rewards by taking actions and updating the policy under a given ... See full document
7
A Meta Learning Approach to Grammatical Error Correction
... Although the proposed model introduced a tradeoff between precision and recall (Rec.), this tradeoff was tolerable in order to improve the overall F1-score. Since GEC is a task where false alarm is critical, ... See full document
5
Quantum error correction for the toric code using deep reinforcement learning
... toric code was implemented. That work focuses on the important issue of imperfect syndromes as well as de- polarizing noise and used an auxiliary ”referee decoder” to assist the RL decoder. In the present work we con- ... See full document
12
Fluency Boost Learning and Inference for Neural Grammatical Error Correction
... boost learning Table 2 compares the performance of seq2seq er- ror correction models with different learning and inference ...boost learning approaches improve the performance over normal ... See full document
11
Error correction and repair moves in synchronous learning activities
... categorizes correction strat- egies as explicit corrections, recasts, elicitations, metalinguistic clues and clarification re- ...ideal correction strategy because they provide immediate feedback about ... See full document
17
Joint Learning and Inference for Grammatical Error Correction
... a model that jointly learns each pair of these phenom- ...joint learning model exhibits superior performance, as it is also able to overcome the problem of the noisy context encountered by the ... See full document
12
Estimating the error correction model for Sudanese exchange rate
... to learning about a potential long-run relationship between many series the concept of cointegration enriches the kinds of dynamic models at our disposal, this can be done through error correction ... See full document
6
An Improved Error Model for Noisy Channel Spelling Correction
... channel model (Shannon 1948) has been successfully applied to a wide range of problems, including spelling ...source model and a channel ...channel model for spelling ...spelling correction ... See full document
8
A Hybrid Model For Grammatical Error Correction
... A pre-processing and a post-processing filter are utilized which include filters for some idio- matic phrases extracted from the training dataset. The Frequent Pattern Growth Algorithm (FP- Growth) is widely used for ... See full document
8
A Double Error Dynamic Asymptote Model of Associative Learning
... real-time computational model of associative learning, the DDA ...DDA model against other models of associative learning, as discussed throughout the paper, in relation to relevant ... See full document
143
A Cognitively Designed Error Correction Log for Facilitating the Learning of Grammatical Structures
... actual correction plus a metalinguistic explanation is provided, or opportunities to notice-the-gap, notice and possibly notice with metalinguistic understanding for direct WCF as the spe- cific correction ... See full document
10
Financial Cointegration and the Vector Error Correction Model: The Case of MENA Countries
... vector error correction model (VECM) model combines long-term cointegration modeling with short-term dynamics to determine equilibrium return ... See full document
9
Bayesian Analysis of Markov Switching Vector Error Correction Model
... cointegration model in order to investigate the model in which there is discontinuous adjustment to a long-run equilib- rium, based on the idea that only when the deviation from the equilibrium exceeds a ... See full document
39
Grammatical Error Detection and Correction using a Single Maximum Entropy Model
... or error propagation of ev- ery ...detailed error types are generated auto- matically from the original 28 types of ...detailed error type can be regarded as the label of a word, thus the task of ... See full document
9
Determining the number of factors in a multivariate error correction–volatility factor model
... factor model, and then give a method to determine the number of factors ...Our model specification and estimation approaches are general, because we impose neither ...factor model concerned the ... See full document
21
Impact of Liberalization on Indonesian Food Security: An Error Correction Model Approach
... Using the ADF test model, the null hypothesis and other decision-making bases used in this test are based on the critical value of MacKinnon instead of the t-test. Furthermore, the t-ratio is compared with the ... See full document
7
Exports and Imports in Qatar: Evidence from Cointegration and Error Correction Model
... Tang (2005) in a commentary on Malaysian imports and exports argued that cointegration findings are not conclusive in the case of Malaysian economy. Using annual data for the period 1959-2000, he applied Johansen ... See full document
12
Minimum distance error correction
... the length of repair desired. The configurations generated by the method can be viewed as a tree with the state in which error is detected and the empty contination string at the root. We wish to reduce the size ... See full document
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