Results 41 to 50 of about 65,886 (196)

Twist versus Nonlinear Stacking in Short DNA Molecules

, 2014
The denaturation of the double helix is a template for fundamental biological functions such as replication and transcription involving the formation of local fluctuational openings.
Zoli, Marco
core   +1 more source

Bagging ensemble selection [PDF]

, 2011
Ensemble selection has recently appeared as a popular ensemble learning method, not only because its implementation is fairly straightforward, but also due to its excellent predictive performance on practical problems.
Pfahringer, Bernhard, Sun, Quan
core   +1 more source

Financial Distress Prediction with Stacking Ensemble Learning

IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2022
Previous studies have used financial ratios extensively to build their predictive model of financial distress. The Altman ratio is the most often used to predict, especially in academic studies. However, the Altman ratio is highly dependent on the validity of the data in financial statements, so other variables are needed to assess the possibility of ...
Hadi, Muhammad Fadhlil, Liang, De-Ron, Priyambodo, Tri Kuntoro, SN, Azhari   +3 more
openaire   +3 more sources

Stacking for machine learning redshifts applied to SDSS galaxies

, 2016
We present an analysis of a general machine learning technique called 'stacking' for the estimation of photometric redshifts. Stacking techniques can feed the photometric redshift estimate, as output by a base algorithm, back into the same algorithm as ...
Hoyle, Ben, Paech, Kerstin, Rau, Markus Michael, Seitz, Stella, Weller, Jochen, Zitlau, Roman   +5 more
core   +1 more source

A Boosting Approach to Constructing an Ensemble Stack

, 2023
An approach to evolutionary ensemble learning for classification is proposed in which boosting is used to construct a stack of programs. Each application of boosting identifies a single champion and a residual dataset, i.e. the training records that thus far were not correctly classified.
Zhilei Zhou, Ziyu Qiu, Brad Niblett, Andrew Johnston, Jeffrey Schwartzentruber, Nur Zincir-Heywood, Malcolm I. Heywood   +6 more
openaire   +2 more sources

Heart Disease Prediction Using Ensemble Stacking Technique

International Journal of Engineering Research in Computer Science and Engineering, 2022
Heart disease is one of the critical reasons behind the majority of the human loss.Heart failure has proven as the major health issue in both men and women.This causes human life very dreadful.Diagnosing heart issues in advance is a tedious task as it requires enormous amount of clinical tests.Data mining techniques like machine learning and deep ...
Sadiyamole P A, Dr. Manju Priya S
openaire   +1 more source

A New Framework for Classifying University-Industry Collaboration Using Synthetic Minority Oversampling Technique and Stacking Ensemble

IEEE Access
University-industry collaboration has emerged as a critical driver of innovation and economic growth. However, predicting the outcomes of these collaborations remains methodologically challenging.
Uzapi Hange, Ezenwa Chike Nwanesi, Monhesea Obrey Patrick Bah   +2 more
doaj   +1 more source

Tree-based Intelligent Intrusion Detection System in Internet of Vehicles

, 2019
The use of autonomous vehicles (AVs) is a promising technology in Intelligent Transportation Systems (ITSs) to improve safety and driving efficiency. Vehicle-to-everything (V2X) technology enables communication among vehicles and other infrastructures ...
Hamieh, Ismail, Moubayed, Abdallah, Shami, Abdallah, Yang, Li   +3 more
core   +1 more source

ecGBMsub: an integrative stacking ensemble model framework based on eccDNA molecular profiling for improving IDH wild-type glioblastoma molecular subtype classification

Frontiers in Pharmacology
IDH wild-type glioblastoma (GBM) intrinsic subtypes have been linked to different molecular landscapes and outcomes. Accurate prediction of molecular subtypes of GBM is very important to guide clinical diagnosis and treatment. Leveraging machine learning
Zesheng Li, Cheng Wei, Zhenyu Zhang, Lei Han   +3 more
doaj   +1 more source

Bubbles and denaturation in DNA [PDF]

, 2006
The local opening of DNA is an intriguing phenomenon from a statistical physics point of view, but is also essential for its biological function. For instance, the transcription and replication of our genetic code can not take place without the unwinding
Altan-Bonnet, Ares, Azbel, Benham, Benham, Benham, Bi, Breslauer, Buyukdagli, Campa, Campa, Choi, Dauxois, Dornberger, Erp, Fye, Galas, Hobza, Inman, Joyeux, jr, Kalosakas, Kittel, M. Peyrard, Marky, Mignon, Montrichok, Movileanu, Murakami, Neher, Ornstein, Peyrard, Peyrard, Poland, Pólya, Rapti, Rapti, S. Cuesta-López, SantaLucia, Sponer, T. S. van Erp, Theodorakopoulos, Torrie, Urabe, Wartell, Zhang, Zheng, Zheng   +47 more
core   +3 more sources