prior knowledge
Prior Knowledge Integration for Neural Machine Translation using Posterior Regularization
... integrating prior knowledge into NMT (Tu et ...arbitrary prior knowledge sources as ...of prior knowledge with neural models using continuous representations learned from data in ...
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Fine-Scale Inference of Ancestry Segments Without Prior Knowledge of Admixing Groups
... ABSTRACT We present an algorithm for inferring ancestry segments and characterizing admixture events, which involve an arbitrary number of genetically differentiated groups coming together. This allows inference of the ...
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Integration of gene expression data with prior knowledge for network analysis and validation
... It is the goal of the present paper to set up networks whose nodes are expressed in a single tissue while the interactions are taken from prior knowledge, contained in manually curated databases. We thus ...
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Prior Knowledge in EFL Reading Comprehension: Omani Teachers’ Perspectives & Classroom Strategies
... However, it is obvious that teachers rely heavily on using “brainstorming” and to some extent on “questioning” strategies. Brainstorming is just one of the strategies and teachers should deploy other techniques that can ...
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Role of prior knowledge in implicit and explicit learning of artificial grammars
... of prior knowledge with stimulus structure, typically, facilitates ...when prior knowledge is incongruent with the ...with prior knowledge affected categorization more than ...
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The Prior Knowledge Effect on the Processing of Vague Discourse in Mandarin Chinese
... The top-down approach predicts a schema advantage, that is, texts with schemas are processed faster than those with no schemas. There is evidence to support that people adopt the top-down approach in reading vague texts. ...
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Aging and Memory as Discrimination: Influences of Encoding Specificity, Cue Overload, and Prior Knowledge
... supported: prior knowledge alleviated age-related associative deficits (Experiment 1), and increasing encoding-retrieval match benefited older more than young adults (Experiment ...
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A Bayesian framework for extracting human gait using strong prior knowledge
... exploiting prior knowledge in the form of an articulated model, has become a classic problem in machine ...strong prior information which is learned from ...of prior information used (for ...
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Adding Prior Knowledge to Quantitative Operational Risk Models
... the prior knowledge that often the generalized Champernowne distribution is a good candidate for operational risk ...this prior knowledge exactly to the extent it ...
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RGB-NIR image categorization with prior knowledge transfer
... Recent works have demonstrated that it is effective to learn multi-modal features and the following classi- fiers simultaneously. The authors in [23] proposed a large margin multi-modal feature extraction (LM3FE) frame- ...
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Guiding Statistical Word Alignment Models With Prior Knowledge
... grate prior knowledge into statistical word align- ment model ...framework, prior knowl- edge serves as probabilistic soft constraints that will guide word alignment model ...
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Aging and memory as discrimination : influences of encoding specificity, cue overload, and prior knowledge
... supported: prior knowledge alleviated age-related associative deficits (Experiment 1), and increasing encoding-retrieval match benefited older more than young adults (Experiment ...
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The Impact of Prior Knowledge about Visual Feedback on Motor Performance and Learning
... or prior knowledge con- ditions between acquisition and ...using prior know- ledge and in retention and transfer had the added advantage of maintaining their strategy from ...no prior practice ...
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Identification of Mechatronic Systems with Dynamic Neural Networks using Prior Knowledge
... Neural Network models are usually applied if no or very little prior knowledge of the system is available. The identification approach in [2][3] starts with an oversized general dynamic neural network (GDNN) ...
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Personalised E Learning: The assessment of students' prior knowledge in Higher Education
... impacted prior learning assessment and recognition (PLAR) by expanding the potential for knowledge acquisition, expres- sion, and delivery” (Brown, 2010, ...students. Prior knowledge is the ...
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When does prior knowledge disproportionately benefit older adults’ memory?
... in knowledge use during memory ...by prior knowledge than young adults ’ memory, whilst other studies show age invariance in this e ff ...’ knowledge there are only two studies where ...
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Theoretical implementation of prior knowledge in the design of a multi-scale prosthesis satisfaction questionnaire
... our prior knowledge about the proposed effect and the new data, the posterior dis- tribution is the best estimate of the effect we are interested in ...utilize prior knowledge about parameters ...
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Aspect Extraction with Automated Prior Knowledge Learning
... of knowledge-based topic models. Besides the knowledge-based topic models discussed in Section 1, document labels are incorporated as implicit knowledge in (Blei and McAuliffe, 2007, Ramage et ...
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Unsupervised Information Extraction with Distributional Prior Knowledge
... tional prior for the unsupervised IE task, where slot fillers correspond to observations in the model, and their labels correspond to hidden variables we want to ...similar prior knowledge in the ...
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Learning Word Representations with Regularization from Prior Knowledge
... Conventional word embeddings are train- ed with specific criteria (e.g., based on language modeling or co-occurrence) in- side a single information source, disre- garding the opportunity for further calibra- tion using ...
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