Results 51 to 60 of about 1,243,089 (305)

Boosting Information Spread: An Algorithmic Approach

, 2017
The majority of influence maximization (IM) studies focus on targeting influential seeders to trigger substantial information spread in social networks.
Chen, Wei, Lin, Yishi, Lui, John C. S.
core   +1 more source

Knot selection by boosting techniques [PDF]

, 2006
A novel concept for estimating smooth functions by selection techniques based on boosting is developed. It is suggested to put radial basis functions with different spreads at each knot and to do selection and estimation simultaneously by a componentwise
Leitenstorfer, Florian, Tutz, Gerhard
core   +4 more sources

Clinical Characteristics and Prognostic Risk Factors for Pediatric B‐Cell Lymphoblastic Lymphoma: A Multicenter Retrospective Cohort Study for China Net Childhood Lymphoma

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background B‐cell lymphoblastic lymphoma (B‐LBL) represents a rare variety of non‐Hodgkin lymphoma, with limited research on its biology, progression, and management. Methods A retrospective analysis was performed on the clinical characteristics of 256 patients aged ≤18 years who received treatment under the China Net Childhood Lymphoma (CNCL)‐
Zhijuan Liu, Jian Wang, Ling Jin, Yanlong Duan, Fu Li, Yueping Jia, Leping Zhang, Xiaojun Yuan, Wei Liu, Ying Liu, Ansheng Liu, Mincui Zheng, Yunpeng Dai, Lian Jiang, Lirong Sun, Xiaowen Zhai, Rong Liu, Chunju Zhou, Zifen Gao, Yonghong Zhang, Xiaomei Yang   +20 more
wiley   +1 more source

Synergy of physics-based reasoning and machine learning in biomedical applications: towards unlimited deep learning with limited data

Advances in Physics: X, 2019
Technological advancements enable collecting vast data, i.e., Big Data, in science and industry including biomedical field. Increased computational power allows expedient analysis of collected data using statistical and machine-learning approaches ...
Valeriy Gavrishchaka, Olga Senyukova, Mark Koepke   +2 more
doaj   +1 more source

Over- and Under-sampling Approach for Extremely Imbalanced and Small Minority Data Problem in Health Record Analysis

Frontiers in Public Health, 2020
A considerable amount of health record (HR) data has been stored due to recent advances in the digitalization of medical systems. However, it is not always easy to analyze HR data, particularly when the number of persons with a target disease is too ...
Koichi Fujiwara, Yukun Huang, Kentaro Hori, Kenichi Nishioji, Masao Kobayashi, Mai Kamaguchi, Manabu Kano   +6 more
doaj   +1 more source

Development and Evaluation of Ensemble Learning Models for Detection of DDOS Attacks in IoT

Hittite Journal of Science and Engineering, 2022
Internet of Things that process tremendous confidential data have difficulty performing traditional security algorithms, thus their security is at risk.
Selim Buyrukoğlu, Yıldıran Yılmaz
doaj   +1 more source

Totally Corrective Multiclass Boosting with Binary Weak Learners [PDF]

, 2010
In this work, we propose a new optimization framework for multiclass boosting learning. In the literature, AdaBoost.MO and AdaBoost.ECC are the two successful multiclass boosting algorithms, which can use binary weak learners.
Barnes, Nick, Hao, Zhihui, Shen, Chunhua, Wang, Bo   +3 more
core  

Predicting the Future Burden of Renal Replacement Therapy in Türkiye Using National Registry Data and Comparative Modeling Approaches

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Chronic kidney disease is a growing public health problem worldwide, and the number of patients requiring renal replacement therapy is steadily increasing. Türkiye has experienced a similar rise in both the incidence and prevalence of renal replacement therapy over the past decades; however, national‐level projections of future ...
Arzu Akgül, Neriman Sıla Koç, Berrak Itır Aylı   +2 more
wiley   +1 more source

POISSON MIXED MODELS WITH A BOOSTING APPROACH FOR THE ANALYSIS OF COUNT DATA

Barekeng
Boosting is a powerful technique for enhancing predictive accuracy by iteratively reweighting observations, and is particularly effective in high-dimensional settings and for variable selection.
Ita Wulandari, Khairil Anwar Notodiputro, Bagus Sartono, Anwar Fitrianto, Anang Kurnia   +4 more
doaj   +1 more source

Data-Based Sensing and Stochastic Analysis of Biodiesel Production Process

Energies, 2018
Biodiesel production is a field of outstanding prospects due to the renewable nature of its feedstock and little to no overall CO2 emissions to the environment.
Iftikhar Ahmad, Ahsan Ayub, Uzair Ibrahim, Mansoor Khan Khattak, Manabu Kano   +4 more
doaj   +1 more source