Jon T. Butler
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View article: An R Tutorial on the Development and Validation of a Multiple Linear Regression Model for Prediction
An R Tutorial on the Development and Validation of a Multiple Linear Regression Model for Prediction Open
Multiple linear regression is a useful tool that has many applications. In this tutorial, we focus on multiple linear regression for prediction. The specific example implemented uses SAT sum scores and high school GPA to predict first year…
View article: Functional Decomposition of Symmetric Multiple-Valued Functions and Their Compact Representation in Decision Diagrams
Functional Decomposition of Symmetric Multiple-Valued Functions and Their Compact Representation in Decision Diagrams Open
This paper proposes a decomposition method for symmetric multiple-valued functions. It decomposes a given symmetric multiple-valued function into three parts. By using suitable decision diagrams for the three parts, we can represent symmet…
View article: On the distribution of sensitivities of symmetric Boolean functions
On the distribution of sensitivities of symmetric Boolean functions Open
A Boolean function $f({\vec x})$ is sensitive to bit $x_i$ if there is at least one input vector $\vec x$ and one bit $x_i$ in $\vec x$, such that changing $x_i$ changes $f$. A function has sensitivity $s$ if among all input vectors, the l…
View article: God in Gotham
God in Gotham Open
A master historian traces the flourishing of organized religion in Manhattan between the 1880s and the 1960s, revealing how faith adapted and thrived in the supposed capital of American secularism. In Gilded Age Manhattan, Catholic, Jewish…
View article: CHH volume 89 issue 3 Cover and Front matter
CHH volume 89 issue 3 Cover and Front matter Open
An abstract is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
View article: A Balanced Decision Tree Based Heuristic for Linear Decomposition of Index Generation Functions
A Balanced Decision Tree Based Heuristic for Linear Decomposition of Index Generation Functions Open
Index generation functions model content-addressable memory, and are useful in virus detectors and routers. Linear decompositions yield simpler circuits that realize index generation functions. This paper proposes a balanced decision tree …