University of Texas at Arlington

About: University of Texas at Arlington is a education organization based out in Arlington, Texas, United States. It is known for research contribution in the topics: Population & Large Hadron Collider. The organization has 11758 authors who have published 28598 publications receiving 801626 citations. The organization is also known as: UT Arlington & University of Texas-Arlington.

Feature selection via joint embedding learning and sparse regression

Abstract: The problem of feature selection has aroused considerable research interests in the past few years. Traditional learning based feature selection methods separate embedding learning and feature ranking. In this paper, we introduce a novel unsupervised feature selection approach via Joint Embedding Learning and Sparse Regression (JELSR). Instead of simply employing the graph laplacian for embedding learning and then regression, we use the weight via locally linear approximation to construct graph and unify embedding learning and sparse regression to perform feature selection. By adding the l2,1-norm regularization, we can learn a sparse matrix for feature ranking. We also provide an effective method to solve the proposed problem. Compared with traditional unsupervised feature selection methods, our approach could integrate the merits of embedding learning and sparse regression simultaneously. Plenty of experimental results are provided to show the validity.

The Importance of Conscientiousness in Adolescent Interpersonal Relationships

Abstract: This research examined how conscientiousness contributes to adolescents' positive peer relationships and vulnerability to poorer ones. Given its temperamental origins in effortful control, conscientiousness was expected to be particularly important. A total of 256 fifth to eighth graders completed personality, peer-relationship, and victimization measures. Peers, parents, and teachers also completed assessments. Adolescents higher on conscientiousness experienced less victimization, better quality friendships, and higher peer acceptance even after controlling for the other Big Five dimensions. Externalizing and/or attention problems mediated the link between conscientiousness and peer relations. Conscientiousness moderated the relation between internalizing problems and poor interpersonal functioning. Results suggest that self-control processes associated with conscientiousness are important in developing and maintaining relationships in adolescence.

A Rigorous, Operational Formalization of Recursive Modeling

Abstract: We present a formalization of the Recursive Modeling Method, which we have previously, somewhat informally, proposed as a method that autonomous artificial agents can use for intelligent coordination and communication with other agents. Our formalism is closely related to models proposed in the area of game theory, but contains new elements that lead to a difregent solution concept. The advantage of our solution method is that always yields the optimal solution, which is the rational action of the agent in a multi-agent environment, given the agent’s state of knowledge and its preferences, and that it works in realistic cases when agents have only a finite amount of information about the agents they interact with.