Data driven
Data driven Paraphrasing and Stylistic Harmonization
... This thesis proposal outlines the use of unsu- pervised data-driven methods for paraphras- ing tasks. We motivate the development of knowledge-free methods at the guiding use case of multi-document ...
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A Fuzzy Data Driven Paradigmatic Predictor
... Abstract: Data-driven prediction of future events is to provide decision-makers Predictive Information (PI) to decrease ...accurate data-driven prediction of the systems’ behavior is the ...
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A data-driven acute inflammation therapy
... a data-driven method for suggesting optimal therapy by using machine learning model that is learned on historical patients ’ ...our data-driven method significantly improves the percentage of ...
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Data Driven Audiology Practice Management
... employ data-driven practice management, including utilization of tools to better understand their practice KPIs and how to use them to make decisions, which result in increased ...
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On the linear quadratic data driven control
... Apart from the on-line implementation, another important issue is to adapt the methods, to “work well” with perturbed data. In this paper a restrictive assumption is that the given trajectory of the plant is exact ...
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Data Driven Text Simplification
... Automatic text simplification is the process of transforming a complex text into an equivalent version which would be easier to read or understand by a target audience, or easier to handle by automatic natural language ...
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Principles of Data-Driven Instruction
... of data-driven decision making is ...a data-driven approach to instruction indicate that it can be an effective way to ensure that students learn ...
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Towards Data-Driven On-Demand Transport
... limited data-driven algorithms for the market formation problem (initial work in this direction can be found in [3, 4], designed for PP ...this data is specific to Liftago, the analysis methodology ...
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A data-driven model for valve stiction
... Abstract: The presence of nonlinearities, e.g., stiction, hysteresis and backlash in a control valve limits the control loop performance. Stiction is the most common problem in spring-diaphragm type valves, which are ...
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Data Driven Resource Management
... Data driven management of resources often follow common stages of maturity, which we have identified as five levels. The resources managed will have a wide range of attributes and behaviors, but as long as ...
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Adding Semantics to Data Driven Paraphrasing
... We argue that a significant failing of recent work on data-driven paraphrasing is the weak definition of paraphrases as being more-or-less equivalent. In this paper, we show how a clear concept of se- ...
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Autonomous data driven clustering for live data stream
... autonomous data-driven clustering algorithm, named AD_clustering, is proposed for live data streams ...the data and their mutual distribution in the data ...the data samples in ...
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Data-driven fMRI data analysis based on parcellation
... We argue that our multi-subject data-driven parcellation approach improves over (1) standard voxel-wise £MRI analysis in terms of both robustness and sensi- tivity to normalization i[r] ...
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Legitimising data driven models: exemplification of a new data driven mechanistic modelling framework
... imise data-driven hydrological models is addressed using an example of a simple artificial neural network modelling prob- ...Many data-driven models in hydrology have been crit- icised for ...
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Data Driven Computing
... material data repositories archive parametric data that is specific to the prespecified material models, which considerably limits their value and usefulness and puts them at variance with Data ...
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Towards data driven selection of a penalty function for data driven Neyman tests
... Data driven Neyman tests are based on two elements: Neyman’s smooth statistic (or equiva- lently, score statistic) in a finite dimensional submodel and a selection rule to choose the appro- priate ...
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Treebanking for Data driven Research in the Classroom
... the data and annotation scheme, helping them perform better on the as- ...--- data-driven study in lin- guistics and literature --- should encourage them to apply it in their future fields of ...
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Data driven solution to predictive maintenance
... ”Data driven prognos- tic” and ”Reliability-based prognostics” (Tobon-Mejia ...historical data during a significant period of time and discover the statistical distribution for each ...historical ...
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Data Driven Metaphor Recognition and Explanation
... Recognizing metaphors and identifying the source-target mappings is an important task as metaphorical text poses a big challenge for machine reading. To address this problem, we automatically acquire a metaphor knowledge ...
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Counterfactual Explanations for Data-Driven Decisions
... explaining data-driven system decisions from a causal perspective: if the question we seek to answer is “why did the system make a specific decision”, we can instead ask “which inputs caused the system to ...
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