We describe the R package CovSel, which reduces the dimension of the covariate vector for the purpose of estimating an average causal effect under the unconfoundedness assumption. Covariate selection algorithms developed in De Luna, Waernbaum, and Richardson (2011) are implemented using model-free backward elimination. We show how to use the package to select minimal sets of covariates. The pac...

Thermal expansion is the major source of inaccuracy for ultra high-precision robots. In this paper we propose a strategy to model and compensate this effect. The experiment is run using a 1 DOF (degree-offreedom) parallel robot equipped with ten temperature sensors; the displacements of the end-effector are measured using an interferometer. After a session of measurements the data collected has...

In this paper, we investigate enhancements to an upper classifier a decision algorithm generated by an upper classification method, which is one of the clsssification methods in rough set theory. Specifically, we consider two enhancements. First, we present a stepwise backward feature selection algorithm to prepro,.LI~C n &.mn CO+ nf fcmt,,v,x ‘T’h;c ic imnnrtont hclrs,.rar? \.bUY tJd 6’V”Y cl”...

Online consumers are known to be impatient. It is therefore critical for merchant websites to offer relevant recommendations quickly and with minimal customer input to their online visitors. Recommending pertinent items to first-time visitors, however, is particularly challenging. In this paper, we show how conjoint analysis can be leveraged to design a recommender system that elicits customers...

In this work, we propose a new optimization algorithm for the development of multiparameter crossover equations of state (MC EOS), which incorporates the asymptotic scaling laws near the critical point. This algorithm is based on stepwise regression, which reduces the intercorrelations among the functional terms in the equation and enables the incorporation of the universal crossover formulatio...

A multiple classifier system to localize stem-ends and calyxes of apple fruits was introduced previously. In this paper we not only introduce a new decision step to this system, but also provide comparisons of several feature selection algorithms and classifiers used. Our results prove that floating forward selection is the best within heuristic methods and support vector machines are better th...

Dephasing effects in electron transport in molecular systems connected between contacts average out the quantum characteristics of the system, forming a bridge to the classical behavior as the size of the system increases. For the evaluation of the conductance of the molecular systems which have sizes within this boundary domain, it is necessary to include these dephasing effects. These effects...

Ranking of fuzzy numbers is not an easy task as fuzzy numbers are represented by possibility distributions and they can overlap with each other. Since it was introduced, various approaches on ranking fuzzy numbers have been proposed. The recent ranking fuzzy numbers proposed by Wang and Li is claimed to be the improved version in ranking. However, the method was never been simplified and tested...

Pruning an ensemble of classifiers is one of the most significant and effective issues in ensemble method topic. This paper presents a new ensemble pruning method inspired by upward stochastic walking idea. Our proposed method incorporates simulated annealing algorithm and forward selection method for selecting models through the ensemble according to the probabilistic steps. Experimental compa...

10.1083/jcb.1727rr3jcb.1727rr3William A. [email protected] receptor activation T he FGF receptor gets its multiple phosphorylations not randomly but in a strictly ordered sequence, say Cristina Furdul, Erin Lew, Joseph Schlessinger, and Karen Anderson (Yale University, New Haven, CT). The intermediate phosphorylation states—neither ful...