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Articles 1 - 7 of 7
Full-Text Articles in Business
New Covariance-Based Feature Extraction Methods For Classification And Prediction Of High-Dimensional Data, Mopelola Adediwura Sofolahan
New Covariance-Based Feature Extraction Methods For Classification And Prediction Of High-Dimensional Data, Mopelola Adediwura Sofolahan
Open Access Dissertations
When analyzing high dimensional data sets, it is often necessary to implement feature extraction methods in order to capture relevant discriminating information useful for the purposes of classification and prediction. The relevant information can typically be represented in lower-dimensional feature spaces, and a widely used approach for this is the principal component analysis (PCA) method. PCA efficiently compresses information into lower dimensions; however, studies indicate that it is not optimal for feature extraction especially when dealing with classification problems. Furthermore, for high-dimensional data having limited observations, as is typically the case with remote sensing data and nonstationary data such as …
Aridity, Bert Chapman
Aridity, Bert Chapman
Libraries Faculty and Staff Scholarship and Research
Provides an overview of how aridity in the American West has influenced that region's economic, environmental, and political development and U.S. Government policies in this region.
Energy, U.S. Department Of, Bert Chapman
Energy, U.S. Department Of, Bert Chapman
Libraries Faculty and Staff Scholarship and Research
Provides information about the U.S. Department of Energy (DOE) and its predecessor agencies and how DOE influences federal energy policy and scientific research in the western U.S.
Sustainability In Industrial Logistics Operations, Vishnu Siddharth Somanur Paramasivam
Sustainability In Industrial Logistics Operations, Vishnu Siddharth Somanur Paramasivam
Purdue Polytechnic Directed Projects
CO2 concentration in the atmosphere has been rising at a rapid rate. As per the numbers quoted, the concentration has surpassed the safest upper limit suggested by the scientists. CO2 is a green-house gas and is partially responsible for global warming. With the current rate of emissions, it poses a threat to the planet's future and prosperity. Transportation contributes 30% of the overall CO2 emissions. Companies that use transportation are taking sustainability initiatives to reduce the emissions. This project documented some of the sustainability practices followed by the companies currently. It was found that the practices followed three general methods …
Indiana Motor Vehicle Highway Fund: A Discussion On Revenues, Distributions And Expenses, Dan Bastin
Indiana Motor Vehicle Highway Fund: A Discussion On Revenues, Distributions And Expenses, Dan Bastin
Purdue Road School
This session discusses the revenues, distributions, and expenses that make up the MVH fund. Presenters will cover the different types of revenue that make up Indiana’s transportation funding and follow the path of those revenues through the funding formula. Also discussed will be the different expenses incurred by the fund each year and formulas as described in the Indiana Code.
Purdue Road School: Funding, Funding, Funding, Gregory T. Guerrettaz
Purdue Road School: Funding, Funding, Funding, Gregory T. Guerrettaz
Purdue Road School
Municipal entities are facing many issues which are causing financial distress. This presentation will discuss strategies to assist in these difficult times. The strategies to be discussed will include short and long-term financial planning, board discussions and the creation of a capital improvement plan.
Investor Sentiment In The Stock Market, Bayram Veli Salur
Investor Sentiment In The Stock Market, Bayram Veli Salur
Open Access Theses
Classical finance theories neglect the impact of investor sentiment on stock returns. These theories assume that investors are rational and make decisions in a way that maximizes their wealth. However, a vast amount of research shows that investors' decisions are affected by their psychological biases and feelings. These findings suggest that investor sentiment may have an impact on stock returns. This hypothesis is the main motivation of this study. First, this study examines whether there is correlation among investor sentiment indicators, and whether sentiment indicators have an impact on stock returns in the US and other countries. Second, this study …