Results 51 to 60 of about 752,283 (330)

Supervised Classification: Quite a Brief Overview

, 2017
The original problem of supervised classification considers the task of automatically assigning objects to their respective classes on the basis of numerical measurements derived from these objects.
Aizerman, Ben-David, Besag, Beygelzimer, Bishop, Boser, Bottou, Bradley, Braga-Neto, Breiman, Breiman, Carbonneau, Chandola, Chapelle, Cheplygina, Chow, Christianini, Cohen, Cohn, Cortes, Cortes, Cover, Devroye, Dietterich, Dietterich, Dubuisson, Duda, Duda, Duin, Duin, Duin, Duin, Dwork, Dwork, Efron, Efron, Efron, Fanelli, Fawcett, Fedorov, Fisher, Fix, Freund, Fu, Galar, Geman, Girosi, Guyon, Hand, Hand, Hastie, Hinton, Ho, Ho, Hoerl, Hoffgen, Ioannidis, Isaksson, Jahrer, Jain, Jain, Kahneman, Krijthe, Kuncheva, Lachenbruch, Lafferty, Landgrebe, Langley, Lavrač, Leek, Levine, Li, Li, Li, Li, Little, Loog, Loog, Loog, Loog, Loog, Markou, Maron, McLachlan, Minka, Moonesinghe, Nair, Niemeijer, Nissen, Pan, Poggio, Polikar, Provost, Pękalska, Pękalska, Pękalska, Quinlan, Quiñonero-Candela, Rasmussen, Ripley, Rosenblatt, Rubinstein, Schaffer, Schiavo, Schmidhuber, Schölkopf, Schölkopf, Schölkopf, Settles, Shrivastava, Smola, Suykens, Tax, Tibshirani, Vapnik, Wahba, Wahba, Wahba, Wald, White, Wolpert, Wolpert, Wolpert, Yang, Zhou, Zhu   +125 more
core   +1 more source

Analysis of Spectrum Occupancy Using Machine Learning Algorithms [PDF]

, 2015
In this paper, we analyze the spectrum occupancy using different machine learning techniques. Both supervised techniques (naive Bayesian classifier (NBC), decision trees (DT), support vector machine (SVM), linear regression (LR)) and unsupervised ...
Azmat, Freeha, Chen, Yunfei, Stocks, Nigel   +2 more
core   +2 more sources

Fine-Grained Classification of Hyperspectral Imagery Based on Deep Learning

Remote Sensing, 2019
Hyperspectral remote sensing obtains abundant spectral and spatial information of the observed object simultaneously. It is an opportunity to classify hyperspectral imagery (HSI) with a fine-grained manner.
Yushi Chen, Lingbo Huang, Lin Zhu, Naoto Yokoya, Xiuping Jia   +4 more
doaj   +1 more source

A semi-supervised spam mail detector [PDF]

, 2006
This document describes a novel semi-supervised approach to spam classification, which was successful at the ECML/PKDD 2006 spam classification challenge.
Pfahringer, Bernhard
core   +2 more sources

Why and When Are Evidence‐Based Interventions Adopted in Paediatric Supportive Care? A Qualitative Exploration of the Determinants of Photobiomodulation Implementation

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Oral mucositis is a common and debilitating side effect of childhood cancer and stem cell transplant treatments. It affects the quality of life of children and young people (CYP) and places a strain on services. Photobiomodulation is recommended for oral mucositis prevention in international guidance but is poorly implemented in UK ...
Claudia Heggie, Kara A. Gray‐Burrows, Peter F. Day, Bob Phillips, Carl A. Thompson   +4 more
wiley   +1 more source

Research on Seismic Signal Analysis Based on Machine Learning

Applied Sciences, 2022
In this paper, the time series classification frontier method MiniRocket was used to classify earthquakes, blasts, and background noise. From supervised to unsupervised classification, a comprehensive analysis was carried out, and finally, the supervised
Xinxin Yin, Feng Liu, Run Cai, Xiulong Yang, Xiaoyue Zhang, Meiling Ning, Siyuan Shen   +6 more
doaj   +1 more source

Pediatric Oncology Nursing Competencies in Latin America and the Caribbean: A Scoping Review to Inform Practice, Education, and Research

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Nurses are central to cancer care for children and adolescents, yet no comprehensive synthesis has defined essential core competencies for pediatric oncology nursing (PON) practice internationally, particularly in Latin America and the Caribbean (LAC).
Luís Carlos Lopes‐Júnior, Edmara Bazoni Soares Maia, Soad Fuentes‐Alabí, Courtney E. Sullivan, Monnie Abraham, Mauricio Maza, Liliana Vásquez Ponce, Regina Aparecida Garcia Lima   +7 more
wiley   +1 more source

Fingerprint Liveness Detection in the Presence of Capable Intruders

Sensors, 2015
Fingerprint liveness detection methods have been developed as an attempt to overcome the vulnerability of fingerprint biometric systems to spoofing attacks. Traditional approaches have been quite optimistic about the behavior of the intruder assuming the
Ana F. Sequeira, Jaime S. Cardoso
doaj   +1 more source

Semi-supervised Tuning from Temporal Coherence

, 2015
Recent works demonstrated the usefulness of temporal coherence to regularize supervised training or to learn invariant features with deep architectures.
Lomonaco, Vincenzo, Maltoni, Davide
core   +1 more source

Organoids in pediatric cancer research

FEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source