Specific constraints, projections and error metrics
Robust semi-supervised learning: projections, limits & constraints
... CHAPTER ONE Implicitly Constrained Semi-supervised Least Squares Classiication We introduce the implicitly constrained least squares (ICLS) classifier, a novel semi- supervised version of the least squares classifier. ...
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Translating UKCP09: FCERM-specific projections. Draft
... the error introduced in the impacts by using this factor of 10 reduction from the maximum number possible is rather less than the range of impact ...for specific, rather than randomly selected, change ...
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Localizing Violations of Approximate Constraints for Data Error Detection
... that error localization helps with lever- aging approximate constraints, it appears less useful for exact constraints, as the error de- tection performance is often context-independent when ...
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Grammatical Error Detection Using Error and Grammaticality Specific Word Embeddings
... Table 2b shows the result of using addi- tional large-scale Lang-8 corpus. Compared to FCE&L8+W2V, FCE+EWE-L8 has better results within the three evaluation metrics. From this re- sult, it can be seen that it is ...
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Adaptive sparse random projections for wireless sensor networks with energy harvesting constraints
... better tradeoff between the MSE and the system delay. The optimal sparsity problem is turned into an opti- mal power allocation maximizing throughput with the energy-harvesting constraints. An offline power ...
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Theory of Constraints and Its Application in a Specific Company
... To achieve both of the main objectives, the following methods were applied: Project Planning, Work Breakdown Structure (WBS), Network Chart of activities, CCMP, Project Management and evaluation, Buff er Management and ...
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Visual specification of metrics for domain specific visual languages
... The four categories in our taxonomy of metrics are considered in the meta- model, all of them inherit from class Metric. Class ModelOriented and its children implement metrics of the first kind. The domain ...
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Performance Improvement of Probabilistic Transcriptions with Language-specific Constraints
... the error rate of probabilistic phone-based transcriptions resulting from mismatched crowdsourcing by using language-specific constraints to post-process the phone ...phone error rate of the ...
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Feasible portfolios under tracking error, β, α and utility constraints
... Another important discussion is that between risk and volatility. A high volatility portfolio is not neces- sarily riskier than a lower volatility portfolio, as the volatility estimate employs both positive and nega- ...
Are Automatic Metrics Robust and Reliable in Specific Machine Translation Tasks?
... Several works aimed to answer this question. Toral and S´anchez-Cartagena (2017) performed an extensive comparison of NMT and PB-SMT sys- tems, measuring several facets of the translation, such as similarity, fluency or ...
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Development of performance and error metrics for ultrasound-guided axillary brachial plexus block
... Dovepress Ahmed et al the American and European Societies of Regional Anesthe- sia. 3 The current paradigm shift toward competence-based training has led to a demand for objective, valid and reliable assessment tools for ...
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ADAPTIVE MULTI-VALUED VOLUME DATA VISUALIZATION USING DATA-DEPENDENT ERROR METRICS
... multi-valued error E m ...data-dependent error metrics for view-dependent ...data-dependent error metrics pro- duce higher-quality ...data-dependent error metrics require ...
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Error Metrics for Smart Image Refinement
... the error buffer and the post-process error buffer get composed in a combined error ...an error value is computed and stored in the combined error ...The error buffer also ...
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Tracking error with minimum guarantee constraints
... tracking error problem when a VaR, CVaR or Maximum Drawdown (MD) constraint is introduced mainly in static framework, but very few contributions address the dynamic portfolio management problem when both a mini- ...
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Dimension-Free Error Bounds from Random Projections
... Learning from high dimensional data is challenging in gen- eral – however, often the data is not truly high dimensional in the sense that it may have some hidden low complex- ity geometry. We give new, user-friendly ...
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Ground Truth for Grammatical Error Correction Metrics
... grammatical error correction (GEC) system is best? A num- ber of metrics have been proposed over the years, each motivated by weaknesses of previous metrics; however, the metrics themselves ...
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Displacement-based error metrics for morphodynamic models
... “Optimal” in this context means that the sum of squares be- tween the deformed predictions and observations is mini- mized, such that 0 ≤ RMSE 1 ≤ RMSE 0 , where RMSE 0 and RMSE 1 are the root-mean-squared errors before ...
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A Reassessment of Reference Based Grammatical Error Correction Metrics
... R EF 1: The senior student who failed has to retake the course next year . R EF 2: The senior students who failed have to retake the course next year . Table 4: Illustrating examples and scores produced by the ...
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Automatic Metrics for Genre specific Text Quality
... and specific sentences from news articles (Louis and Nenkova, 2011a; Louis and Nenkova, ...be specific whereas sentences with shorter verb phrases and more polar- ity words were ...or specific and ...
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Using Error-and Grammaticality-Specific Word Embeddings For Grammatical Error Detection
... 2.KanekoMasahiro,YuyaSakaizawaandMamoruKomachi.Grammat- icalErrorDetectionUsingError-andGrammaticality-Specific WordEmbeddings.InProceedings。f七he8thIn七erna七ionalJ。int ConferenceonNatural[r] ...
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