Prior knowledge experimental data and results
Data visualisation and exploration with prior knowledge
... The data were sampled from a GTM with an 8 × 8 grid in the latent ...the data had a block diagonal covariance matrix and experiments were conducted with a range of levels of variance and ...the data ...
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Knowledge Discovery for Knowledge Based Systems. Some Experimental Results
... of knowledge discovery systems and knowledge based systems centered in automatic knowledge acquisition for experts ...Some experimental results related to the quality of the generated ...
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The structure of prior knowledge
... qualitative data gathered for this ...these data were gathered and ...qualitative data generated in order to address my research ...my data can be ...
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Integration of gene expression data with prior knowledge for network analysis and validation
... There are some recently proposed approaches to reconstruct networks combining database knowledge with expression data, namely for instance Cytoscape [40] or TS-REX [14]. Nevertheless, our proposed gene ...
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Block GTM: Incorporating prior knowledge of covariance structure in data visualisation
... the data set dimensionality is too great. Empirical results not shown in this report indicate that the sample size of the data does not change the boundary at 40 ...the data or a ...
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1.1 Prior Knowledge and Revision
... the data to be exchanged is broken up into blocks of data called ...the data down into packets means that packets may follow different routes between the transmitter and the receiver, but is ...
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Bayesian network prior: network analysis of biological data using external knowledge
... biological knowledge by incorporating only certain features, such as net- work topology or binding sites in promoter ...external knowledge are em- ...of prior knowledge, regardless of its ...
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Knowledge-Aided Multichannel Adaptive SAR/GMTI Processing: Algorithm and Experimental Results
... the knowledge-aided STAP schemes and named as KA adaptive SAR/GMTI ...the prior form of C + N covariance matrix concerning each image pixel is reformed to be a K × K matrix of ones multiplied by the local ...
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On clustering interval data with different scales of measures : experimental results
... Interval Data with Different Scales of Measures: Experimental Results (17-25) Page 24 Copyright © CC-BY-NC 2014 , Asian Business Consortium | AJASE a pair 𝐼 𝑘𝑗 , 𝐼 𝑘′𝑗 of intervals 𝑘, 𝑘 ′ = 1, … , 𝑁 ...
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Multistatic SAR Imaging: Comparison of Simulation Results and Experimental Data
... Abstract Synthetic aperture radar (SAR) systems in a multistatic configuration are a promising candidate for future Earth observation and reconnaissance radar systems. They overcome the sampling constraints inherent to ...
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EIT Imaging of Admittivities with a D-Bar Method and Spatial Prior: Experimental Results for Absolute and Difference Imaging
... scattering data, solution of the ¯ ∂ k equation (4) using vs the asymptotic replacement term, with a scattering radius of |k| ≤ ...some knowledge of the approximate underlying structure is known, a ...
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Transforming big data into knowledge : experimental techniques in dynamic visualization
... The goaL of these observations was to assess the increasingly synchronized process of coLLecting and disseminating data. Initiated and carried out by.. Kewkradong Banglad[r] ...
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Encoding Prior Knowledge with Eigenword Embeddings
... the Results When comparing retrofitting to CCA with prior knowledge, there is a noticable ...of prior knowledge, by adding a regular- ization term that enforces words which are similar ...
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The influence of prior knowledge on memory consolidation
... A passive-protective account of the sleep state applies to the findings obtained from the other two behavioural measures in this investigation. Firstly, recall after 12 hours of wakefulness resulted in a greater number ...
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Using Prior Knowledge in the Design of Classifiers
... utilizing prior knowledge to design better perform- ing classifiers when sample sizes are ...Simulation results using the Zipf model show that the proposed paradigm yields improved classifiers that ...
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Encoding Prior Knowledge with Eigenword Embeddings
... 5. Results Table 1 describes the results from our first set of ...adding prior knowledge to eigenword embed- dings does improve the quality of word vectors for the word similarity, geographic ...
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SHrinkage Covariance Estimation Incorporating Prior Biological Knowledge with Applications to High-Dimensional Data
... This study, however, is intended as a proof of concept, and does not aim to definitely establish the superiority of the suggested SHIP-based vari- ants of LDA, RGCCA and GlobalANCOVA. Firstly, more simulations in ...
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Unsupervised Information Extraction with Distributional Prior Knowledge
... distributional prior knowl- edge to help distribute candidates in a docu- ment into appropriate ...Empirical results suggest that the proposed prior can bring sub- stantial improvements to our task ...
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Probabilistic Dialogue Models with Prior Domain Knowledge
... It is instructive to analyse the learning curve of the three models, shown in Figure 5. Given its smaller number of parameters, the rule-structured model is able to converge to near-optimal values af- ter observing only ...
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Aspect Extraction with Automated Prior Knowledge Learning
... several knowledge-based models have been proposed to incorporate prior knowl- edge provided by the user to guide mod- ...big data era, without any user input, it is possi- ble to learn prior ...
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