搜索结果: 1-15 共查到“non-parametric”相关记录29条 . 查询时间(0.093 秒)
INCORPORATION OF UNRELIABLE INFORMATION INTO PHOTOGRAMMETRIC RECONSTRUCTION FOR RECOVERY OF SCALE USING NON-PARAMETRIC BELIEF PROPAGATION
Sensor Fusion Belief Propagation Photogrammetry Barometer GNSS
2016/11/11
The creation of large photogrammetric models often encounter several difficulties in regards to geometric accuracy, scale and geolocation, especially when not using control points. Geometric accuracy ...
Non-parametric crop yield forecasting, a didatic case study for Zimbabwe
Agriculture Climate Crop
2015/9/6
Operational crop yield forecasting is mostly achieved with empirical statistical regression equations relating regional yield with
predictor variables, termed “factors”. Regional yield (the “dependen...
Non-parametric analysis of a single seismometric recording to obtain building dynamic parameters
damping fundamental mode singledegree-of-freedom ambient vibration
2015/9/2
We propose a simple time-domain, non-parametric method to estimate the damping at the fundamental frequency of a building. The method aims at obtaining quick-and-dirty data on large sets of buildings,...
Wavelets and the theory of non-parametric function estimation
Pinsker’s theorem sparsity statistical decision problem
2015/8/20
Non-parametric function estimation aims to estimate or recover or denoise a function
of interest, perhaps a signal, spectrum or image, that is observed in noise and possibly
indirectly after some tr...
DIMENSIONALITY REDUCTION OF HYPERSPECTRAL IMAGES BY COMBINATION OF NON-PARAMETRIC WEIGHTED FEATURE EXTRACTION (NWFE) AND MODIFIED NEIGHBORHOOD PRESERVING EMBEDDING (NPE)
Hyperspectral Imagery Feature Extraction LDA NPE Classification
2014/12/1
This paper combine two conventional feature extraction methods (NWFE&NPE) in a novel framework and present a new semi-supervised feature extraction method called Adjusted Semi supervised Discriminant ...
Adding More Languages Improves Unsupervised Multilingual Part-of-Speech Tagging: A Bayesian Non-Parametric Approach
Languages Part-of-Speech Tagging
2014/11/26
Adding More Languages Improves Unsupervised Multilingual
Part-of-Speech Tagging: A Bayesian Non-Parametric Approach。
Farmers’ willingness to switch to ecological agriculture: A non-parametric analysis
cheap talk contingent valuation method hypothetical bias one-and-one-half-bound method organic agriculture Turnbull model willingness to accept
2014/7/9
The present study estimates the farmers’ willingness to switch to organic agriculture by using the one-and-one-half-bound dichotomous choice contingent valuation method. We survey 200 farmers in the K...
Two General Methods for Population Pharmacokinetic Modeling: Non-Parametric Adaptive Grid and Non-Parametric Bayesian
Population pharmacokinetic modeling non-parametric maximum likelihood Bayesian Stick-breaking Pmetrics RJags
2013/5/2
Population pharmacokinetic (PK) modeling methods can be statistically classified as either parametric or nonparametric (NP). Each classification can be divided into maximum likelihood (ML) or Bayesian...
A Markov Model of Machine Translation using Non-parametric Bayesian Inference
Markov Model Machine Translation Non-parametric Bayesian Inference
2014/3/20
Most modern machine translation systems use phrase pairs as translation units, allowing for accurate modelling of phraseinternal translation and reordering. However phrase-based approaches are much le...
A non-parametric mixture model for topic modeling over time
non-parametric mixture model topic modeling over time
2012/9/17
A single, stationary topic model such as la-tent Dirichlet allocation is inappropriate for modeling corpora that span long time peri-ods, as the popularity of topics is likely to change over time. A n...
SPECIES-SPECIFIC FOREST VARIABLE ESTIMATION USING NON-PARAMETRIC MODELING OF MULTI-SPECTRAL PHOTOGRAMMETRIC POINT CLOUD DATA
Forestry photogrammetry estimation inventory spectral stereoscopic point cloud mapping
2014/4/30
The recent development in software for automatic photogrammetric processing of multispectral aerial imagery, and the growing nation-wide availability of Digital Elevation Model (DEM) data, are about t...
Gaussian Oracle Inequalities for Structured Selection in Non-Parametric Cox Model
Gaussian Oracle Inequalities Structured Selection Non-Parametric Cox Model
2012/9/19
To better understand the interplay of censoring and sparsity we develop finite sample properties of nonparametric Cox proportional hazard乫s model. Due to high impact of sequencing data, carrying genet...
Non-parametric change-point detection using string matching algorithms
School of Mathematics, University of Bristol, University Walk, Bristol, BS8 1TW, UK
2011/7/7
Given the output of a data source taking values in a finite alphabet, we wish to detect change-points, that is times when the statistical properties of the source change.
Maternal full-time employment and overweight children: Parametric, semi-parametric, and non-parametric assessment
Maternal employment Overweight children
2011/4/2
We use the matched mother-child data from the 2000 wave of the US National Longitudinal Survey of Youth 79 (NLSY79) to assess the impact of full-time working mothers on children’s body mass index (BMI...
The Relative Efficiency of Active Labour Market Policies: Evidence from a Social Experiment and Non-Parametric Methods
active labour market policy treatment effect non-parametric bounds
2012/10/31
We re-analyze the effects of a Danish active labour market program social experiment that included a range of sub-treatments, including monitoring, job search assistance and training. Previous studies...