„Classifiers“

Suchergebnisse

1.260 Treffer

• Evaluation of a prior-incorporated statistical model and established classifiers for externally visible characteristics prediction
  Katsara, Maria-Alexandra ; Nothnagel, Michael ; de Meaux, Juliette ; Wiehe, Thomas 2021 Universitäts- und Stadtbibliothek Köln
• A multiple classifiers system with roulette-based feature subspace selection for one-vs-one scheme
  Zhang, Zhong-Liang ; Zhang, Chen-Yue ; Luo, Xing-Gang ; Zhou, Qing
• Combining unsupervised and supervised learning techniques for enhancing the performance of functional data classifiers
  Maturo, Fabrizio ; Verde, Rosanna
• iPhos‐PseEvo: Identifying Human Phosphorylated Proteins by Incorporating Evolutionary Information into General PseAAC via Grey System Theory
  Qiu, Wang‐Ren ; Sun, Bi‐Qian ; Xiao, Xuan ; Xu, Dong ; Chou, Kuo‐Chen
• Explainable AI and machine learning: performance evaluation and explainability of classifiers on educational data mining inspired career counseling
  Guleria, Pratiyush ; Sood, Manu
• A Probabilistic‐Statistical Model of the Particle Classification Process in Small Hydrocyclone Classifiers
  Krokhina, Alina V. ; Lvov, Vladimir A. ; Pavlikhin, Gennady P.
• Adipose methylome integrative-omic analyses reveal genetic and dietary metabolic health drivers and insulin resistance classifiers
  Christiansen, Colette ; Tomlinson, Max ; Eliot, Melissa ; Nilsson, Emma ; Costeira, Ricardo ; Xia, Yujing ; Villicaña, Sergio ; Mompeo, Olatz ; Wells, Philippa ; Castillo-Fernandez, Juan ; Potier, Louis ; Vohl, Marie-Claude ; Tchernof, Andre ; Moustafa, Julia El-Sayed ; Menni, Cristina ; Steves, Claire J. ; Kelsey, Karl ; Ling, Charlotte ; Grundberg, Elin ; Small, Kerrin S. ; Bell, Jordana T.
• GAAE: a novel genetic algorithm based on autoencoder with ensemble classifiers for imbalanced healthcare data
  Ram, Pintu Kumar ; Kuila, Pratyay
• An Introduction to Machine Learning
  Kubat, Miroslav 2017 Springer International Publishing
• Computational Botany – Methods for Automated Species Identification
  Remagnino, Paolo ; Cope, James ; Wilkin, Paul ; Kirkup, Don ; Mayo, Simon Joseph 2017 Springer Berlin Heidelberg
• Computational botany – methods for automated species identification
  Remagnino, Paolo ; Cope, James ; Wilkin, Paul ; Kirkup, Don ; Mayo, Simon 2017 Springer
• Machine unlearning: linear filtration for logit-based classifiers
  Baumhauer, Thomas ; Schöttle, Pascal ; Zeppelzauer, Matthias
• Breast cancer prediction from microRNA profiling using random subspace ensemble of LDA classifiers via Bayesian optimization
  Sharma, Sudhir Kumar ; Vijayakumar, K. ; Kadam, Vinod J. ; Williamson, Sheldon
• Comparing the performance of meta-classifiers—a case study on selected imbalanced data sets relevant for prediction of liver toxicity
  Jain, Sankalp ; Kotsampasakou, Eleni ; Ecker, Gerhard F.
• Classifiers and their Metrics Quantified
  Brown, J. B.
• A multiple classifiers time-serial ensemble pruning algorithm based on the mechanism of forward supplement
  Shen, Yan ; Jing, Luyi ; Gao, Tian ; Song, Zizhao ; Ma, Ji
• Performance analysis of ensemble classifiers and a two-level classifier in the classification of severity in digital mammograms
  Sannasi Chakravarthy, S. R. ; Rajaguru, Harikumar
• Intrusion Detection in Wi-Fi Networks by Modular and Optimized Ensemble of Classifiers: An Extended Analysis
  Granato, Giuseppe ; Martino, Alessio ; Baldini, Luca ; Rizzi, Antonello
• Linear Classifiers for Prediction of Squeezing Conditions in Tunnels
  Jain, Ashwani ; Rao, K. S.
• Two types of plurals and numeral classifiers in classifier languages: the case of Korean
  Park, So-Young