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locally weighted regression model

Derivative Estimation Based on Difference Sequence via Locally Weighted Least Squares Regression

Derivative Estimation Based on Difference Sequence via Locally Weighted Least Squares Regression

... linear regression representation in which the derivative is just the intercept ...Using locally weighted least squares, we estimate the derivative in the linear regression ...

25

Classification of Major Depressive Disorder via Multi-Site Weighted LASSO Model

Classification of Major Depressive Disorder via Multi-Site Weighted LASSO Model

... multi-site weighted LASSO (MSW-LASSO) model to boost classification performance for each individual participating site, by integrat- ing their knowledge for feature selection and results from ...performs ...

9

The stability and calibration of water vapor isotope ratio measurements during long-term deployments

The stability and calibration of water vapor isotope ratio measurements during long-term deployments

... a locally weighted polynomial regression, fit to the ex- tended and 6-hourly concentrationā€“calibration points, and second by normalizing the concentration-corrected field data to VSMOW-SLAP by ...

18

An extension of geographically weighted regression with flexible bandwidths

An extension of geographically weighted regression with flexible bandwidths

... better model fit by incorporating multiple bandwidths that reflect various scales of spatial non- stationarity in relationships into one ...in model selection for more parsimonious models including the ...

167

Geographically weighted elastic net logistic regression

Geographically weighted elastic net logistic regression

... logistic regression, extend- ing previous research describing a localized elastic net as an extension to a local- ized ridge regression or a localized ...Geographically weighted elastic net logistic ...

25

Geographically and Temporally Weighted Regression
(GTWR) for Modeling Economic Growth using R

Geographically and Temporally Weighted Regression (GTWR) for Modeling Economic Growth using R

... GTWR method has more accurate results in predicting concentration of dust particles in Surabaya [1]. Another research on the GTWR approach with mileage to estimate home prices showed that the GTWR model that takes ...

6

Simulation and application of spatial 
		autoregressive geographically weighted regression model (SAR GWR)

Simulation and application of spatial autoregressive geographically weighted regression model (SAR GWR)

... standard regression model, the GWR allows regression coefficients are varying from location to ...the model (2) has š‘› š¾ + parameters that must be ...a weighted least squares (WLS) ...

9

End-user feature labeling: a locally-weighted regression approach

End-user feature labeling: a locally-weighted regression approach

... Our research contributions are as follows. First, we present a new algorithm for taking end-user feature labels into ac- count, based on Locally Weighted Logistic Regression. Second, we present an ...

11

Infantsā€™ Weight Growth Model in Surabaya (Indonesia) By Using Weighted Spline Regression

Infantsā€™ Weight Growth Model in Surabaya (Indonesia) By Using Weighted Spline Regression

... parametric regression models still imposed as a model of the data pattern, it will be a misleading ...Nonparametric regression is a regression approach that is suitable for data patterns that ...

5

Video Object Detection with Locally-Weighted Deformable Neighbors

Video Object Detection with Locally-Weighted Deformable Neighbors

... Figure 1: Typical deteriorated object appearance in videos A few works have been proposed to exploit such tem- poral information in videos by means of various post- processing steps (Kang et al. 2016) on top of ...

8

An approach to select linear regression model in bioanalytical method validation

An approach to select linear regression model in bioanalytical method validation

... To handle this situation, two approaches were used; the use of weighted linear regression and the use of polynomial equations (Nakov et al. 2014, Korany et al. 2013). The latter is only applied in the case ...

7

The Locally Weighted Bag of Words Framework for Document Representation

The Locally Weighted Bag of Words Framework for Document Representation

... local regression or kernel density estimation ...the locally weighted bag of words framework is to use a local smoothing kernel to smooth the original word sequence ...

37

Advanced imaging of colorectal cancer: From anatomy to molecular imaging

Advanced imaging of colorectal cancer: From anatomy to molecular imaging

... To date, DWI is a basic technique in oncologic imaging [55]. Diffusion measures the random Brownian motion of water molecules within a voxel of tissue. The relationship between histology and diffusion is complex. DWI can ...

25

Comments on the weighted regression approach to missing values

Comments on the weighted regression approach to missing values

... Although the exact small sample variance formula given by Conniffe 1983 can be applied to 16 there is no corresĀ­ ponding algebraic formula for the estimator corresponding to 15 so a simu[r] ...

13

Estimation of tree volume equations

Estimation of tree volume equations

... a model is termed as multicollinearity. When constructing regression models, it is often necessary to separate the relative effects of various intercorrelated variables on the dependent ...the ...

132

New approaches in estimating linear regression model parameters in the presence of multicollinearity and outliers

New approaches in estimating linear regression model parameters in the presence of multicollinearity and outliers

... Violations of the independent assumption can results to multicollinearity in the data set. The inference procedures estimated based on the presence of multicollinearity will invalidate the model parameter. ...

34

A modification to geographically weighted regression

A modification to geographically weighted regression

... coefficient model [10], allowing the coefficient terms to vary according to ...the model is a form of local linear models [15] and can be used to explore the dynamic property of spatial ...coefficient ...

18

Data-Driven Optimization and Decision Making for Signal Timing on Coordinated Arterial Streets.

Data-Driven Optimization and Decision Making for Signal Timing on Coordinated Arterial Streets.

... Locally Weighted Projection Regression (LWPR) is a state-of-the-art algorithm that was designed for incremental online learning with high dimensional input space (Vijaykumar et ...nonparametric ...

117

Concurrency Control in Cad Using Artificial Neural Network and Fuzzy Logic

Concurrency Control in Cad Using Artificial Neural Network and Fuzzy Logic

... In this research work, Functional Update Back Propagation Algorithm [13], Locally Weighted Projection Regression and Fuzzy Logic have been implemented. All the algorithms are able to train the lock ...

7

Implementation of Artificial Neural Network and Fuzzy Logic for Concurrency Control in CAD Data Base

Implementation of Artificial Neural Network and Fuzzy Logic for Concurrency Control in CAD Data Base

... One of the problems of locking mechanisms is the potential for deadlock. Deadlock occurs when two or more transactions are mutually waiting for each otherā€Ÿs resources. This problem can be solved by assigning each ...

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