Articles — Popular

Papers, presentations, reports and more, written in LaTeX and published by our community. Search or browse below.

Comparing Adaptivity of Ants using NEAT and rtNEAT
Comparing Adaptivity of Ants using NEAT and rtNEAT
Although individual ants have an extremely basic intelligence, and are completely incapable of surviving on their own, colonies of ants can develop remarkably sophisticated and biologically successful behavior. This paper discusses a set of experiments which attempt to simulate one of these behaviors, namely the ability of ants to place pheromones as a way of communication. These experiments involved a variety of different environments, and tested two varieties of the genetic algorithm NEAT: the standard offline version, and its online counterpart rtNEAT. Since the experimental environment did not seem to offer any benefit to continuous learning, we had expected NEAT and rtNEAT to have roughly similar learning curves. However, our results directly contradict this hypothesis, showing much more succesful learning with rtNEAT than with standard NEAT.
Mario Sanchez and Teo Gelles
Dissertation RAPIDMINER
Dissertation RAPIDMINER
Excerpt from main dissertation
Michelle Baltazar
Air quality predictor
Air quality predictor
Machine learning project report. The project aimed at predicting air quality based on weather and its code is available at https://github.com/annisall/mlproject.
Anniina Sallinen
Justice
Justice
Short Sectioned Assignment LaTeX Template Version 1.0 (5/5/12) This template has been downloaded from: http://www.LaTeXTemplates.com Original author: Frits Wenneker (http://www.howtotex.com) License: CC BY-NC-SA 3.0 (http://creativecommons.org/licenses/by-nc-sa/3.0/)
Tinsae Erkailo
Robust estimators in partly linear regression models on Riemannian manifolds
Robust estimators in partly linear regression models on Riemannian manifolds
Under a partly linear model we study a family of robust estimates for the regression parameter and the regression function when some of the predictors take values on a Riemannian manifold. We obtain the consistency and the asymptotic normality of the proposed estimators. Simulations and an application to a real dataset show the good performance of our proposal under small samples and contamination.
Rajesh Kumar
Dissertation HTML BIG
Dissertation HTML BIG
Excerpt from main dissertation
Michelle Baltazar
FSU-MATH2300-Project2
FSU-MATH2300-Project2
A second project for Calculus 1 at Fitchburg State. Explore the proofs of some of the derivative rules and derive new rules from old.
Sarah Wright
Dissertation CSS
Dissertation CSS
Excerpt from main dissertation
Michelle Baltazar
Tarea 5
Tarea 5
TABLA EQUIVALENCIAS CUANTIFICADORES
larry061198