Estimating student retention and degree-completion time: Decision Trees and Neural Networks vis-à-vis Regression.

S Herzog - New directions for institutional research, 2006 - ERIC
Focusing on student retention and time to degree completion, this study illustrates how
institutional researchers may benefit from the power of predictive analyses associated with …

Comparación entre árboles de regresión CART y regresión lineal

JFD Sepúlveda, JC Correa - Comunicaciones …, 2013 - revistasojs.usantotomas.edu.co
La Regresión lineal es el método más usado en estadística para predecir valores de
variables continuas debido a su fácil interpretación, pero en muchas situaciones los …

[图书][B] Training with the heart rate monitor

K Hottenrott - 2007 - books.google.com
Ever since the first portable heart rate monitors were made available in the 1980s, athletes
and fitness enthusiasts have been using them to monitor and control training intensity to …

Selection of predictor variables for pneumonia using neural networks and genetic algorithms

PS Heckerling, BS Gerber, TG Tape… - Methods of Information …, 2005 - thieme-connect.com
Background: Artificial neural networks (ANN) can be used to select sets of predictor variable
that incorporate nonlinear interactions between variables. We used a genetic algorithm, with …

Извлечение оптимизационных моделей из данных: подход на основе решающих деревьев и лесов

ВИ Донской - Таврический вестник информатики и математики, 2017 - cyberleninka.ru
В статье разработаны два подхода к синтезу моделей выбора решений из данных.
Первый подход предполагает синтез «слитной» модели решающего дерева …

[PDF][PDF] Investigating impacts of natural and human-induced environmental changes on hydrological processes and flood hazards using a GIS-based hydrological …

L Wang - 2010 - core.ac.uk
Natural and human-induced environmental changes have been altering the earth's surface
and hydrological processes, and thus directly contribute to the severity of flood hazards. To …

Predicting parking space availability based on heterogeneous data using Machine Learning techniques

H Mehmood - 2019 - oulurepo.oulu.fi
These days, smart cities are focused on improving their services and bringing quality to
everyday life, leveraging modern ICT technologies. For this reason, the data from connected …

Smooth statistical modeling of bivariate non-monotonic data by a three-stage LUT neural system

S Fiori, N Fioranelli - Neural Computing and Applications, 2018 - Springer
The present paper introduces a new statistical data modeling algorithm based on artificial
neural systems. This procedure allows abstracting from datasets by working on their …