Results 41 to 50 of about 79,652 (190)

Classification of Hungarian medieval silver coins using x-ray fluorescent spectroscopy and multivariate data analysis [PDF]

, 2013
A set of silver coins from the collection of Déri Museum Debrecen (Hungary) was examined by X-ray fluorescent elemental analysis with the aim to assign the coins to different groups with the best possible precision based on the acquired chemical ...
Anita Rácz, Károly Héberger, János Elek, Rajkó, Róbert, Rácz, Anita, Róbert Rajkó, Héberger, Károly, Elek, János   +7 more
core   +1 more source

Harnessing Multi-label Classification Approaches for Economic Phenomena Categorization

ASEAN Journal on Science and Technology for Development, 2021
One fashion to report a country’s economic state is by compiling economic phenomena from several sources. The collected data may be explored based on their sentiments and economic categories.
Nofriani, Novianto Budi Kurniawan
doaj   +1 more source

Learning Multi-Tree Classification Models with Ant Colony Optimization [PDF]

, 2014
Ant Colony Optimization (ACO) is a meta-heuristic for solving combinatorial optimization problems, inspired by the behaviour of biological ant colonies. One of the successful applications of ACO is learning classification models (classifiers).
Otero, Fernando E.B., Khalid M. Salama, Salama, Khalid M., Fernando E. B. Otero   +3 more
core   +1 more source

Information-Theoretic Data Discarding for Dynamic Trees on Data Streams

Entropy, 2013
Ubiquitous automated data collection at an unprecedented scale is making available streaming, real-time information flows in a wide variety of settings, transforming both science and industry.
Christoforos Anagnostopoulos, Robert B. Gramacy   +1 more
doaj   +1 more source

Discovering Regression Rules with Ant Colony Optimization [PDF]

, 2015
The majority of Ant Colony Optimization (ACO) algorithms for data mining have dealt with classification or clustering problems. Regression remains an unexplored research area to the best of our knowledge.
Brookhouse, James, Otero, Fernando E.B., James Brookhouse, Fernando E.B. Otero   +3 more
core   +1 more source

Assessment of textile sludge pyrolysis behaviour through advance predictive models for bioenergy production

Case Studies in Thermal Engineering
Managing the textile sludge has become a significant global challenge because it is often disposed of in landfills without recovering its energy potential.
Arslan Khan, Asif Hussain Khoja, Salman Raza Naqvi, Waheed Miran, Imtiaz Ali   +4 more
doaj   +1 more source

Using machine learning to predict wind turbine power output

Environmental Research Letters, 2013
Wind turbine power output is known to be a strong function of wind speed, but is also affected by turbulence and shear. In this work, new aerostructural simulations of a generic 1.5 MW turbine are used to rank atmospheric influences on power output. Most
A Clifton, L Kilcher, J K Lundquist, P Fleming   +3 more
doaj   +1 more source

A machine learning approach for the prediction of pulmonary hypertension.

PLoS ONE, 2019
BACKGROUND:Machine learning (ML) is a powerful tool for identifying and structuring several informative variables for predictive tasks. Here, we investigated how ML algorithms may assist in echocardiographic pulmonary hypertension (PH) prediction, where ...
Andreas Leha, Kristian Hellenkamp, Bernhard Unsöld, Sitali Mushemi-Blake, Ajay M Shah, Gerd Hasenfuß, Tim Seidler   +6 more
doaj   +1 more source

Supervised Classification in the Presence of Misclassified Training Data: A Monte Carlo Simulation Study in the Three Group Case

Frontiers in Psychology, 2014
Statistical classification of phenomena into observed groups is very common in the social and behavioral sciences. Statistical classification methods, however, are affected by the characteristics of the data under study. Statistical classification can be
Jocelyn E Bolin, Holmes eFinch
doaj   +1 more source

Use of Classification and Regression Trees in Diuresis Renography [PDF]

Academic Radiology, 2007
Decision support systems have the capacity to improve diagnostic performance and reduce physician errors. The purpose of this study was to evaluate the use of classification and regression trees (CART) with bootstrap aggregation as a decision support system in the baseline plus furosemide (F + 20) diuresis renography protocol to determine when ...
José Nilo G, Binongo, Andrew, Taylor, Andrew N, Hill, Brian, Schmotzer, Raghuveer, Halkar, Russell, Folks, Eva, Dubovsky, Ernest V, Garcia, Amita K, Manatunga   +8 more
openaire   +2 more sources