Efficient Value of Information Calculation Using a Nonparametric Regression Approach: An Applied Perspective

Applied Nonparametric Regression

Estimation of Regression Model Using a Two Stage Nonparametric Approach

Based on the empirical or theoretical qualitative information about the relationship between response variable and covariates, we propose a new approach to model polynomial regression using a shape restricted regression after estimating the direction by sufficient dimension reduction. The purpose of this paper is to illustrate that in the absence of prior information other than the shape constr...

Corner Detection Using Morphological Skeleton: An Efficient and Nonparametric Approach

In this paper we propose an effective and robust approach for detecting corner points on a given binary image. Unlike other corner detection methods the proposed method is non-parametric in nature, that is, it does not require any input parameter. The proposed method is based on mathematical morphology. It makes use of morphological skeleton for detecting corner points. Convex corner points are...

Kernel Rewards Regression: An Information Efficient Batch Policy Iteration Approach

We present the novel Kernel Rewards Regression (KRR) method for Policy Iteration in Reinforcement Learning on continuous state domains. Our method is able to obtain very useful policies observing just a few state action transitions. It considers the Reinforcement Learning problem as a regression task for which any appropriate technique may be applied. The use of kernel methods, e.g. the Support...

Nonparametric Regression

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