Weighted generalized ridge regression offers unique advantages in correlated highdimensional problems. Such estimators can be efficiently computed using Bayesian spike and slab models and are effective for prediction. For sparse variable selection, a generalization of the elastic net can be used in tandem with these Bayesian estimates. In this article, we describe the R-software package spikesl...

In hidden-profile (HP) problems, groups squander their potential to make superior decisions because members fail to capitalize on each other’s unique knowledge (unshared information). A new self-regulation perspective suggests that hindrances in goal striving (e.g., failing to seize action opportunities) contribute to this problem. Implementation intentions (if–then plans) are known to help dea...

The possibility of creating thinking machines raises a host of ethical issues. These questions relate both to ensuring that such machines do not harm humans and other morally relevant beings, and to the moral status of the machines themselves. The first section discusses issues that may arise in the near future of AI.The second section outlines challenges for ensuring that AI operates safely as...

We present a visual tablet for exploring the nature of a bagged decision tree (Breiman [1996]). Aggregating classifiers over bootstrap datasets (bagging) can result in greatly improved prediction accuracy. Bagging is motivated as a variance reduction technique, but it is considered a black box with respect to interpretation. Current research seekine: to explain why bagging works has focused ond...

In this paper, we will present a unified view for LDA. We will (1) emphasize that standard LDA solutions are not unique, (2) propose several new LDA formulations: St-orthonormal LDA, Sw-orthonormal LDA and orthogonal LDA which have unique solutions, and (3) show that with St-orthonormal LDA and Sw-orthonormal LDA formulations, solutions to all four major LDA objective functions are identical. F...

This research investigates a proximal mechanism by which judgments of sexual intent are made: scripts. In a pilot study, scripts organized around sexual intent were elicited, with coding identifying the features of scripts relevant to casual and committed relationship encounters. Male participants and those interested in casual sexual relationships were more likely to generate the casual (vs. c...

Colchicine is an alkaloid that is used clinically in the treatment of arthritic gout. This potent microtubule disrupting agent has also been used extensively as an experimental tool in studies characterizing the role of the cytoskeleton in a variety of cellular processes. Colchicine has also been used as a selective neurotoxin and in animal models of Alzheimer’s disease and epilepsy. Although t...

Given a monochrome image and some manually labeled pixels, the colorization problem is a computer-assisted process of adding color to the monochrome image. This paper proposes a novel approach to the colorization problem by formulating it as a matrix completion problem. In particular, taking a monochrome image and parts of the color pixels (labels) as inputs, we develop a robust colorization mo...

One of the most relevant problems in artificial intelligence is allowing a synthetic device to perform inductive reasoning, i.e. to infer a set of rules consistent with a collection of data pertaining to a given real world problem. A variety of approaches, arising in different research areas such as statistics, machine learning, neural networks, etc., have been proposed during the last 50 years...

Decision-making competence (DMC) is the ability to follow normative principles when making decisions. In a longitudinal analysis, we examine the robustness of DMC over time, as measured by two batteries of paper-and-pencil tasks. Participants completed the youth version (Y-DMC) at age 19 and/or the adult version (A-DMC) 11 years later at age 30, as part of a larger longitudinal study. Both meas...