Results 41 to 50 of about 1,715,429 (285)
Feature selection for modular GA-based classification [PDF]
, 2004 Genetic algorithms (GAs) have been used as conventional methods for classifiers to adaptively evolve solutions for classification problems. Feature selection plays an important role in finding relevant features in classification.
Guan, SU, Zhu, F, Zhu, F., Guan, S.
core +1 more source
Unsupervised Classification of Chemical Compounds
Journal of the Royal Statistical Society Series C: Applied Statistics, 1999 SUMMARY Clustering chemical compounds of similar structure is important in the pharmaceutical industry. One way of describing the structure is the chemical ‘fingerprint’. The fingerprint is a string of binary digits, and typical data sets consist of very large numbers of fingerprints; a suitable clustering procedure must take account of ...
Guttiérrez Toscano, P. +1 more
openaire +2 more sources
Unsupervised multi-label text classification using a world knowledge ontology [PDF]
, 2012 The development of text classification techniques has been largely promoted in the past decade due to the increasing availability and widespread use of digital documents. Usually, the performance of text classification relies on the quality of categories
Hua Wang +8 more
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Remote Sensing, 2022 Feature extraction and comparison of synthetic aperture radar (SAR) data of different modes such as high resolution and full polarization have important guiding significance for SAR image applications.
Junrong Qu +5 more
doaj +1 more source
Unsupervised Classification for Landslide Detection from Airborne Laser Scanning
Geosciences, 2019 Landslides are natural disasters that cause extensive environmental, infrastructure and socioeconomic damage worldwide. Since they are difficult to identify, it is imperative to evaluate innovative approaches to detect early-warning signs and assess ...
Caitlin J. Tran +3 more
doaj +1 more source
Molecular Oncology, EarlyView.RNA profiling of circulating extracellular vesicles (EVs) from blood samples of men undergoing prostate biopsy identifies transcripts associated with clinically significant prostate cancer. Integrative analysis with public tumor datasets links EV‐derived gene signatures to tumor stage and progression‐free survival, highlighting CASP3, XRCC2, and RIT1 ...
Stefan Werner +14 more
wiley +1 more source
Optimal classification of remote sensing data using directed and non-directed instruction of neural networks [PDF]
مجلة التربية والعلم, 1999 The study of multi classification of data has become one of the important issues which geographical studies focus on especially those which take their data from satellites.
Kanar Mustafa, Lubna Al-Kahli
doaj +1 more source
Molecular Oncology, EarlyView.This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska +13 more
wiley +1 more source
Remote Sensing, 2018 When confronted with limited labelled samples, most studies adopt an unsupervised feature learning scheme and incorporate the extracted features into a traditional classifier (e.g., support vector machine, SVM) to deal with hyperspectral imagery ...
Cong Wang +3 more
doaj +1 more source
ClassCut for Unsupervised Class Segmentation [PDF]
, 2010 We propose a novel method for unsupervised class segmentation on a set of images. It alternates between segmenting object instances and learning a class model.
Bogdan Alexe +5 more
core +1 more source