Search Results - subject:"Machine Learning"

Support-Vektor-Maschinen und statistische neuronale Netze im Data Mining und Datenqualitätsmanagement : eine empirische Analyse am Beispiel der Unternehmenssolvenz

Franken, Ronald - 2008 - 1. Aufl.

Persistent link: https://www.econbiz.de/10013360898

Interest rates mapping

Kanevski, M.; Maignan, M.; Pozdnoukhov, A.; Timonin, V. - In: Physica A: Statistical Mechanics and its Applications 387 (2008) 15, pp. 3897-3903

geostatistics. Geostatistical models and machine learning algorithms (multilayer perceptron and Support Vector Machines) were …

Persistent link: https://www.econbiz.de/10010588549

Risk insolvency predictive model maximum expected utility

Marassi, Daria; Pediroda, Valetino - In: International Journal of Business Performance Management 10 (2008) 2/3, pp. 174-190

machine learning. The used method is called Maximum Expected Utility (MEU) and represents the most promising methodology for …

Persistent link: https://www.econbiz.de/10010669400

In silico network topology-based prediction of gene essentiality

Silva, João Paulo Müller da; Acencio, Marcio Luis; … - In: Physica A: Statistical Mechanics and its Applications 387 (2008) 4, pp. 1049-1055

and transcriptional regulation interactions. The second step consists in training a decision-tree-based machine-learning …

Persistent link: https://www.econbiz.de/10011057595

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

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

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

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