Search Results - subject:"Machine Learning"

How effective are neural networks at forecasting and prediction? A review and evaluation

Adya, Monica; Collopy, Fred - 1998

Despite increasing applications of artificial neural networks (NNs) to fore- casting over the past decade, opinions regarding their contribution are mixed. Evaluating research in this area has been difficult, due to lack of clear criteria. We identified eleven guidelines that could be used in...

Persistent link: https://www.econbiz.de/10009484508

AN ANALYSIS OF MISCLASSIFICATION RATES FOR DECISION TREES

Zhong, Mingyu - 2007

The decision tree is a well-known methodology for classification and regression. In this dissertation, we focus on the minimization of the misclassification rate for decision tree classifiers. We derive the necessary equations that provide the optimal tree prediction, the estimated risk of the...

Persistent link: https://www.econbiz.de/10009431076

APPLYING RECOGNITION OF EMOTIONS IN SPEECH TO EXTEND THE IMPACT OF BRAND SLOGAN RESEARCH

Chien, Charles S; Wang, Wan-Chen; Moutinho, Luiz; … - In: Portuguese Journal of Management Studies XII (2007) 2, pp. 115-132

How brand slogans can influence and change the consumers’ perception of image of products has been a topic of great interest to marketers. However, it is a non-trivial task to evaluate how brand slogans affect their customers’ emotions and how the emotions influence the customers’...

Persistent link: https://www.econbiz.de/10005000333

Super Learner

Laan, Mark van der; Polley, Eric; Hubbard, Alan - In: Statistical Applications in Genetics and Molecular Biology 6 (2007) 1, pp. 25-25

When trying to learn a model for the prediction of an outcome given a set of covariates, a statistician has many estimation procedures in their toolbox. A few examples of these candidate learners are: least squares, least angle regression, random forests, and spline regression. Previous articles...

Persistent link: https://www.econbiz.de/10005585074

A Compendium to Ensure Computational Reproducibility in High-Dimensional Classification Tasks

Ruschhaupt, Markus; Huber, Wolfgang; Poustka, Annemarie; … - In: Statistical Applications in Genetics and Molecular Biology 3 (2007) 1, pp. 37-37

We demonstrate a concept and implementation of a compendium for the classification of high-dimensional data from microarray gene expression profiles. A compendium is an interactive document that bundles primary data, statistical processing methods, figures, and derived data together with the...

Persistent link: https://www.econbiz.de/10005246451

Super Learning: An Application to the Prediction of HIV-1 Drug Resistance

Sinisi, Sandra; Polley, Eric; Petersen, Maya; Rhee, Soo-Yon - In: Statistical Applications in Genetics and Molecular Biology 6 (2007) 1, pp. 7-7

Many alternative data-adaptive algorithms can be used to learn a predictor based on observed data. Examples of such learners include decision trees, neural networks, support vector regression, least angle regression, logic regression, and the Deletion/Substitution/Addition algorithm. The optimal...

Persistent link: https://www.econbiz.de/10005246455

Advances in machine learning applications in software engineering

Tsai, Jeffrey J. P. (contributor); Zhang, Du. (contributor) - 2007

"This book provides analysis, characterization and refinement of software engineering data in terms of machine learning … methods. It depicts applications of several machine learning approaches in software systems development and deployment, and … the use of machine learning methods to establish predictive models for software quality while offering readers suggestions …

Persistent link: https://www.econbiz.de/10011725791

Learning Real-World Problems by Finding Correlated Basis Functions

Drake, Adam C 1978- - 2006

Learning algorithms based on the Fourier transform attempt to learn functions by approximating the largest coefficients of their Fourier representations. Nearly all previous work in Fourier-based learning has been in the theoretical realm, where properties of the transform have made it possible...

Persistent link: https://www.econbiz.de/10009456844

Prediction, learning, and games

Cesa-Bianchi, Nicolò; Lugosi, Gábor - 2006

Persistent link: https://www.econbiz.de/10004943852

10 CHALLENGING PROBLEMS IN DATA MINING RESEARCH

YANG, QIANG; WU, XINDONG - In: International Journal of Information Technology & … 05 (2006) 04, pp. 597-604

of the most active researchers in data mining and machine learning for their opinions on what are considered important …

Persistent link: https://www.econbiz.de/10005033338