Suchergebnisse - "boosting algorithms"

Using interpretable boosting algorithms for modeling environmental and agricultural data von Obster, Fabian, Heumann, Christian, Bohle, Heidi, Pechan, Paul

“… We describe how interpretable boosting algorithms based on ridge-regularized generalized linear models can be used to analyze high-dimensional environmental data …”
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Discussion of "the evolution of boosting algorithms" and "extending statistical boosting" von Bühlmann, P, Gertheiss, J, Hieke, S, Kneib, T, Ma, S, Schumacher, M, Tutz, G, Wang, C-Y, Wang, Z, Ziegler, A

“… This article is part of a For-Discussion-Section of Methods of Information in Medicine about the papers "The Evolution of Boosting Algorithms - From Machine Learning to Statistical Modelling …”
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Effects of Dimension Reduction Methods on Boosting Algorithms for Better Prediction Accuracies on Classifications of Stress EEGs von Sim, Doreen Y. Y., Chong, C. K.

“… The results after applying the different dimension reduction methods of PCA, ICA and LDA to different boosting algorithms were analyzed and compared meticulously …”
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Cost-sensitive boosting algorithms as gradient descent von Qu-Tang Cai, Yang-Qui Song, Chang-Shui Zhang

“… Cost sensitive boosting (CSB) is an emerging subject extending the boosting methods for cost sensitive classification applications …”
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Artificial Intelligence Techniques for Solar Irradiance and PV Modeling and Forecasting

“… Solar photovoltaic (PV) systems are pivotal and transformative technologies at the forefront of the global shift toward sustainable energy solutions. The …”
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Boosting algorithms for uplift modeling von Sołtys, Michał, Jaroszewicz, Szymon

“… Building an uplift model requires two training sets: the treatment group, where individuals have been subject to the action, and the control group, where no action has been performed …”
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Totally corrective boosting algorithms that maximize the margin von Liao, Jun

“… We consider boosting algorithms which maintain a distribution over a set of examples …”
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Electroencephalography based classification of emotions associated with road traffic noise using Gradient boosting algorithm von Manohare, Manish, Rajasekar, E., Parida, Manoranjan

“… •A listening experiment is conducted with 14 participants who listened to 14 traffic noise stimuli.•EEG signals are recorded as a psychophysiological response …”
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Online comment‐based prediction of cosmetic ingredient's sensory irritation using gradient boosting algorithm von Jiang, Biao, Wang, Huijuan, Cheng, Li, Zi, Yusha, He, Congfen, Den, Yi‐Ann

“… Objective A gradient boosting algorithm is adopted in our context to integrate multisource of information including skin types, sensory response, and cosmetics ingredients to predict sensory irritation …”
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Interrelationship between the general characteristics of Korean stroke patients and the variables of the sexual functions: random forest and boosting algorithm von Yoon, Jung-Gyu, Zarayeneh, Neda, Suh, Sang C

“… To analyze the factors related to a sexual function after a stroke, we used the random forest, boosting algorithm and MANOVA. [Results …”
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Machine learning (ML) based models for predicting the ultimate bending moment resistance of high strength steel welded I-section beam under bending von Liu, Jun-zhi, Li, Shuai, Guo, Jiachen, Xue, Shuai, Chen, Shuxian, Wang, Lin, Zhou, Yang, Luo, Tess Xianghuan

“… in limited accuracy of ultimate bending moment prediction and complex endeavour is involved for sections subject to local buckling …”
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Partially Supervised Learning Using an EM-Boosting Algorithm von Yasui, Yutaka, Pepe, Margaret, Hsu, Li, Adam, Bao-Ling, Feng, Ziding

“… Constructing effective classifiers from training data is the goal of supervised learning. In biomedical sciences and other scientific applications, class labels may be subject to errors …”
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Building student’s performance decision tree classifier using boosting algorithm von Jauhari, Farid, Supianto, Ahmad Afif

“… In this paper, we propose 3 boosting algorithms (C5.0, adaBoost.M1, and adaBoost.SAMME) to build the classifier for predicting student’s performance …”
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Comparison of Machine Learning-based Approaches to Predict the Conversion to Alzheimer’s Disease from Mild Cognitive Impairment von Franciotti, Raffaella, Nardini, Davide, Russo, Mirella, Onofrj, Marco, Sensi, Stefano L.

“… – is far from being reached. In this study, we compared the different prognostic performances of three supervised ML algorithms fed with multimodal biomarkers of MCI subjects obtained …”
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Ensemble Voting-Based Multichannel EEG Classification in a Subject-Independent P300 Speller von Mussabayeva, Ayana, Jamwal, Prashant Kumar, Akhtar, Muhammad Tahir

“… To achieve subject-independence in a P300 speller, ensemble classifiers are proposed based on classical machine learning models, such as the support vector machine (SVM …”
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A Decision Support System For Early Stage Parkinson's Diagnosis from EEG Data Using Symbolic Mutual Information and KAC Features von Baki, Neslihan, Gürsel Özmen, Nurhan

“… Parkinson's disease (PD) is a serious neurological disease that is threatening the whole world population. The devolution of the neurons located in the …”
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Algorithms for Estimating Time-Locked Neural Response Components in Cortical Processing of Continuous Speech von Kulasingham, Joshua P., Simon, Jonathan Z.

“… However, current methods may lead to less than reliable estimates of single-subject TRF components …”
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Serum-Based Detection of Pancreatic and Ovarian Cancer via a Nanoparticle-Enhanced Fluorescence Array and Machine Learning von Morcuende-Ventura, Violeta, Sánchez-Gracia, Oscar, Abian-Franco, Natalia, Jiménez-Pardo, Isabel, Herrer, Lucía, Castillo-Vallés, Martín, Lancelot, Alexandre, Falcó-Martí, F Javier, Hermoso-Durán, Sonia, Pazo-Cid, Roberto, Lanas, Ángel, Velazquez-Campoy, Adrián, Sierra, Teresa, Abian, Olga

“… : Early detection of oncological diseases such as pancreatic ductal adenocarcinoma (PDAC) and ovarian cancer (OV) is pivotal for successful treatment but …”
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Improved Confidence-Interval Estimations Using Uncertainty Measure and Weighted Feature Decisions for Cuff-Less Blood-Pressure Measurements von Lee, Soojeong, Al-antari, Mugahed A., Joshi, Gyanendra Prasad

“… Thus, we proposed a method to obtain improved CIs for individual subjects by applying bootstrap and uncertainty methods using the cuff-less BP estimates of each subject obtained through GPR …”
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A comparative analysis of emotion recognition from EEG signals using temporal features and hyperparameter-tuned machine learning techniques von Hasan, Rabita, Islam, Sheikh Md. Rabiul

“… Classifying emotions based on EEG signals is really important for enhancing our interactions with computers, monitoring mental health and creating applications …”
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