Statistical errors from the geostatistical processing
Observations from Statistical Processing of BDNC01 Corpus
... The first major step in corpus building is the determination of the criteria on which the texts that form the corpus will be selected. Common criteria include the mode of texts, the types of texts, the domain of texts, ...
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Processing of conventional soil survey data using geostatistical methods
... arise from different aims of conventional soil survey and geostatistical ...calculated from the original data, both for clay content and pH, showed a big portion of nugget variability caused by a few ...
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Statistical Metaphor Processing
... Such an extension of the identification system would require the creation of a seed set exemplifying more syntactic constructions and the corpus search over fur- ther grammatical relations (e.g., verb–prepositional phrase ...
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Processing graded feedback: Electrophysiological correlates of learning from small and large errors
... large errors were associated with higher FRN, small errors were associated with larger oscillatory responses, which was more evident in the ...the processing of error feedback for skill ...
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Fractures Networks Organization on Precambrian Basement of Cote d’Ivoire: Statistical and Geostatistical Approaches
... The principal objective is to understand the organization of fracture networks on Precambrian basement of Côte d’Ivoire. Statistical and geostatistical methods were used in this study for fracturing ...
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Fundamentals of Statistical Signal Processing
... drawn from Fundamentals of Statistical Sig- nal Processing: Estimation Theory, 1993, and Fundamentals of Statistical Signal Processing: Detection Theory, 1998, but we have also added ...
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A Statistical Approach to the Processing of Metonymy
... These results demonstrate the effectiveness of the method. Ten out of the 13 metonymies were interpreted correctly. Moreover, if we restrict our attention to the ten metonymies that are acceptable in Japanese, all but ...
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Array signal processing robust to pointing errors
... signal processing has long been of great research interest given its important role in a great variety of military and commercial appli- cations, such as in radar, wireless communications, sonar, acoustics, ...
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Parallelization of web processing services on cloud computing: A case study of Geostatistical Methods
... between processing time and the response ...means from 1 to 10 nodes are the same. The statistical significance between means is evaluated using a t-test, where ...the statistical significance ...
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Errors of Estimating Near Surface Q A statistical Approach
... model from a variety of geophone pairs of different source-receiver offsets, then assuming a simple nonlinear power law regression model to estimate the Q as a function of ...adds errors to the Q ...
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Correlating decoding events with errors in Statistical Machine Translation
... For this purpose, we process the verbose out- put of the decoder and derive scores, counts and other statistics that can have this sentence-level in- terpretation. When decoding steps contain a num- ber of scores which ...
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ArcGIS Geostatistical Analyst: Statistical Tools for Data Exploration, Modeling, and Advanced Surface Generation
... uses statistical models that allow a variety of map outputs including predictions, prediction standard errors, standard error of indicators, and ...comes from a stationary stochastic ...
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Soil Surface Salinity Prediction Using ASTER Data: Comparing Statistical and Geostatistical Models
... Regression-kriging (RK): T his method is based on the use of simple or multiple regressions with simple kriging (Lark and Beckett, 1995; Odeh et al., 1995) for the investigation of spatial variability of continuous ...
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Determination of errors in derived magnetic field directions in geosynchronous orbit: results from a statistical approach
... calculated from three selected empirical global magnetic field models (including a static Olson and Pfitzer 1977 quiet magnetic field model, a simple dynamic Tsyganenko 1989 model, and a sophisti- cated dynamic ...
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The Impact of Morphological Errors in Phrase-based Statistical Machine Translation from English and German into Swedish
... Differences in inflectional and derivational morphology, may influence phrase-based statistical machine translation primarily in two ways. First, an increased number of word forms may lead to data sparseness ...
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Distributed processing for statistical data mining
... possible and in some cases desirable to control the degree to which the nested loops are decomposed into discrete tasks, perhaps by inserting operator groups and changing the order of the iterators. Previous work has ...
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Statistical Signal Processing, An Introduction to pdf
... signal processing has not been ...received from a remote transmitter or extracted from a physical medium that was previously ...Signal processing in general is the performing of some operation ...
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Statistical physics of information processing by cells
... different from the InfoMax design we presented in the previous chap- ...mapping from certain combina- tion of RTK and GPCR stimulation to the downstream Pak activation, a well-defined I-O relation ...
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Genomic applications of statistical signal processing
... controlled conditions. One popular technique is RNA inference, which can shut-off a specific gene using its corresponding double strand RNA (dsRNA). The advent of in vivo Chromatin Immuno-Precipitation (ChIP) assays has ...
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Statistical signal processing approach to segment primary components from pathological phonocardiogram
... countries. From a different perspective, monitoring the cardiac sound signals which are generated due to mechanical vibrations organisms, it is evident that HS auscultation is the fundamental tool in diagnosis of ...
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