Statistical Approaches
Histogram Equalization on Statistical Approaches for Chinese Unknown Word Extraction
... The approaches to unknown word extraction can be roughly divided into two categories, rule-based approaches and statistical ...rule-based approaches, semantic rules for specific types of ...
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Applying the exposome concept in birth cohort research: a review of statistical approaches
... different statistical approaches and discuss their challenges, with the aim to provide guidance for methodological choices in the analysis of exposome data in birth cohort ...Several statistical ...
12
Comparison of statistical approaches to rare variant analysis for quantitative traits
... novel statistical approaches have been proposed to assess the association between traits and rare variants, sometimes including and sometimes exclud- ing nearby common ...published approaches that ...
6
Statistical approaches in tensile tests of bond strength
... suitable statistical approach to be used to evaluate the obtianed data of BS ...different statistical approaches in analyzing the obtained data and compare the ...different statistical ...
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Bridging the gap between GLUE and formal statistical approaches: approximate Bayesian computation
... informal statistical approaches using the general- ized likelihood uncertainty estimation (GLUE) methodology (Beven and Binley, 1992; Beven, 1993, 2006, 2009; Beven and Freer, 2001; Beven et ...
20
Chemical entity recognition in patents by combining dictionary-based and statistical approaches
... We investigated the combination of dictionary-based and statistical approaches for chemical entity recognition in pa- tents. Our results show that the recall of the chemical dic- tionaries on the CEMP task ...
8
Statistical approaches for identification of low flow drivers: temporal aspects
... selected statistical methods ex- clusively take linear relationships between target variable and regressors into ...the statistical models can only be evaluated in a validation period directly adjacent to ...
17
Topological and statistical approaches describing inhomogeneously polarized light fields
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11
Statistical Approaches for Signal Processing with Application to Automatic Singer Identification
... The Auto-SID system we proposed consists of four phase: pre-processing, feature extraction, training and testing. In the pre-processing phase, the first step is the singing voice detection which aims to differentiate the ...
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Improving Transliteration Mining by Integrating Expert Knowledge with Statistical Approaches
... This paper contributes a study of methods for integrating human expert knowledge with machine learning approaches for determining phonetic similarity of word pairs. A method is proposed which allows a human to ...
11
Statistical approaches in QTL mapping and molecular breeding for complex traits
... generated via crosses of two inbred lines with large differ- ence in the traits of interest. Thus, only the QTLs with gen- otypes that differ in the two parents can be detected and only limited genetic architecture of ...
8
Detection of DDoS Attacks against the SDN Controller using Statistical Approaches
... Moreover, Chen in [9] proposed another way which is SDNShield to protect the SDN against DDoS attacks. This defense framework was specified for protecting the SDN network edges and the controller. First of all, SDNShield ...
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DOE Based Statistical Approaches in Modeling of Laser Processing – Review & Suggestion
... Abstract — Design of Experiment commonly referred to as DOE is one of the extensively used methods for experimental study of many processes in engineering. It is a statistical approach in which a mathematical ...
7
Inference of Non-Overlapping Camera Network Topology using Statistical Approaches
... clustered into two entry/exit zones using the Data Spectroscopy method.. When all camera FOVs observations are clustered and classified into the detected. entry/exit zones the Monte Carl[r] ...
67
Prediction and validation of quaternary high entropy alloys using statistical approaches
... systems. Approaches exist to process data where many variables need to be taken into account, reducing dimensionality and allowing the grouping of data and the identification of ...a statistical tool is ...
12
Statistical approaches for analyzing mutational spectra: some recommendations for categorical data.
... R, number of mutant categories; N + , total sample size; X 2 , Pearson goodness-of-fit statistic; G2, likelihood ratio statistic; c2, CRESSIE-READ statistic; M 2 , Margolin-Lig[r] ...
14
Statistical approaches for resting state fMRI data analysis
... retrieved. Statistical significance of the spontaneous hemodynamic response evoked by opening and closing eyes was assessed with a group-level repeated-measures analysis of covariance (ANCOVA) that included ...
128
Rethinking Statistical Approaches to Evaluating Drug Safety
... clinical trials, this may not be totally true for pharmaceutical companies to develop new drugs and for regulatory agencies to approve them. The current paradigm for the approval of a new drug is two-fold. First, the ...
6
Statistical Approaches in Genome-Wide Association Studies
... In the previous chapter, we have explored Bayesian approaches based on shrinkage priors and mixture priors. Between those two categories, a shrink- age prior might be more appropriate choice for SNP-data, while ...
119
Contagion in Financial Markets: Two Statistical Approaches
... A working likelihood approach is a good idea when we are not sure about the data generating mechanism which in other words is the true model. Blume (2004) examines the concept of a working likelihood in a normal ...
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