Results 111 to 120 of about 168,042 (312)
Semiparametric linear regression with censored data and stochastic regressors [PDF]
, 1994 We propose three new estimation procedures in the linear regression model with randomly-right censored data when the distribution function of the error term is unspecified, regressors are stochastic and the distribution function of the censoring variable
Mora, Juan
core
Training Mahalanobis Kernels by Linear Programming [PDF]
, 2012 The covariance matrix in the Mahalanobis distance can be trained by semi-definite programming, but training for a large size data set is inefficient. In this paper, we constrain the covariance matrix to be diagonal and train Mahalanobis kernels by linear programming (LP).
openaire +1 more source
Advanced Materials Technologies, EarlyView.A mask‐free and cost‐effective UV‐pico‐second laser‐based microfabrication method is proposed to fabricate large‐area biodegradable microelectrode arrays and pressure sensors. These devices demonstrate low impedance, good conformability, excellent biocompatibility, and rapid degradation, providing a new route for next‐generation transient electronics ...
Bhavani Prasad Yalagala +5 more
wiley +1 more source
Reproducing kernel methods for solving linear initial-boundary-value problems
Electronic Journal of Differential Equations, 2008 In this paper, a reproducing kernel with polynomial form is used for finding analytical and approximate solutions of a second-order hyperbolic equation with linear initial-boundary conditions.
Li-Hong Yang, Yingzhen Lin
doaj
Advanced Materials Technologies, EarlyView.Flexible Chitosan‐glycerol sensor integrated with porous laser‐induced graphene (LIG) electrodes enable room‐temperature chemiresistive detection of ammonia (NH3) and proof‐of‐concept detection of fish spoilage. ABSTRACT We report a metal‐free sensor platform combining laser induced graphene (LIG) electrodes with drop‐deposited, glycerol‐plasticized ...
Mintesinot Tamiru Mengistu +9 more
wiley +1 more source
Local Linear Fitting Under Near Epoch Dependence: Uniform consistency with Convergence Rates [PDF]
Local linear fitting is a popular nonparametric method in statistical and econometric modelling. Lu and Linton (2007) established the pointwise asymptotic distribution for the local linear estimator of a nonparametric regression function under the ...
Zudi Lu, Degui Li, Oliver Linton
core
Kernel Negative ε Dragging Linear Regression for Pattern Classification
Complexity, 2017 Linear regression (LR) and its variants have been widely used for classification problems. However, they usually predefine a strict binary label matrix which has no freedom to fit the samples.
Yali Peng +4 more
doaj +1 more source
Advanced Materials Technologies, EarlyView.A flexible pressure sensor utilizing a 3D dual‐pore polyurethane structure is developed to overcome the intrinsic trade‐off between sensitivity and linearity. By inducing sequential buckling through distinct pore sizes and shapes, the device achieves highly linear and sensitive responses across a wide pressure range.
Jae Yeong Jang, Jaemin Choi, Young Jung
wiley +1 more source
Efficient Regression in Time Series Partial Linear Models [PDF]
This paper studies efficient estimation of partial linear regression in time series models. In particular, it combines two topics that have attracted a good deal of attention in econometrics, viz.
Peter C.B. Phillips +2 more
core
Online learning with (multiple) kernels : a review [PDF]
, 2013 This review examines kernel methods for online learning, in particular, multiclass classification. We examine margin-based approaches, stemming from Rosenblatt's original perceptron algorithm, as well as nonparametric probabilistic approaches that are ...
Diethe, Tom, Girolami, Mark
core +1 more source