abstract: in this study an appropriate computational approach was presented for estimating the boiling temperatures of 41 different types of olefins and their derivatives. based on the guidelines of this approach, several structural indices related to the organic components were applied using graph theory. meanwhile, in addition to evaluating the relation between the boiling temperatures of ole...

Variable selection via penalized estimation is appealing for dimension reduction. For penalized linear regression, Efron, et al. (2004) introduced the LARS algorithm. Recently, the coordinate descent (CD) algorithm was developed by Friedman, et al. (2007) for penalized linear regression and penalized logistic regression and was shown to gain computational superiority. This paper explores...

using monthly test day records the genetic parameters of iranian holstein cattle in first lactation were studied. data of 277400 test-day milk records from 65320 cows and 2210 sires were analyzed by an animal random regression model using restricted maximum likelihood methodology. the model included herd-test-date, interaction between year-season of calving, days in milk (linear and quadratic) ...

In this talk, we discuss the principle of Minimum Description Length (MDL) for problems of statistical modeling. By viewing models as a means of providing statistical descriptions of observed data, the comparison between competing models is based on the stochastic complexity (SC) of each description. The Normalized Maximum Likelihood (NML) form of the SC (Rissanen 1996) contains a component tha...

This report details the findings in building a large-scale linear regression sentiment model for an Amazon book review corpus. We studied and applied a number of regression and NLP techniques, including Unigram/Bigrams, stop-word removal, ridge and lasso regression. 1. DATA CORPUS The corpus contains 975194 non-distinct book reviews collected from Amazon by Mark Dredze and others at Johns Hopki...