Results 41 to 50 of about 15,619 (146)
A genetic algorithm based on nearest neighbour classification to breast cancer diagnosis [PDF]
, 2003 Copyright © 2003 ACPSEM. All rights reserved. The document attached has been archived with permission from the publisher.R.
Jain, R., Mazumdar, J.
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Benchmark of machine learning methods for classification of a Sentinel-2 image [PDF]
, 2016 Thanks to mainly ESA and USGS, a large bulk of free images of the Earth is readily available nowadays. One of the main goals of remote sensing is to label images according to a set of semantic categories, i.e. image classification.
Piragnolo, Marco +2 more
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Highly Accurate Hybrid Method for Attention Deficit Hyperactivity Disorder Classification Based on ANFIS-RFE-GWO [PDF]
Interdisciplinary Description of Complex SystemsAttention Deficit Hyperactivity Disorder (ADHD) is one of the most prevalent neurobehavioral disorders, characterised by persistent patterns of inattention, impulsivity, and restlessness.
Deepika, Shaveta Arora, Meghna Sharma
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Improving the k-Nearest Neighbour Rule by an Evolutionary Voting Approach [PDF]
, 2014 This work presents an evolutionary approach to modify the voting system of the k-Nearest Neighbours (kNN). The main novelty of this article lies on the optimization process of voting regardless of the distance of every neighbour.
A. Abraham +13 more
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International Journal of Signal Processing, Image Processing and Pattern Recognition, 2015 In this paper, we present for printed multi-oriented, multi-scaled and noisy Greek characters recognition a comparison in terms of precision, rapidity and stability between several classifiers which the first one is a probabilistic that is hidden Markov model, the second is a neuronal that is Kohonen network or self-organizing maps while the rest of ...
Salouan S. Safi, B. Bouikhalene
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On the Window Size for Classification in Changing Environments [PDF]
, 2009 Classification in changing environments (commonly known as concept drift) requires adaptation of the classifier to accommodate the changes. One approach is to keep a moving window on the streaming data and constantly update the classifier on it. Here we
Kuncheva, Ludmila, Zliobaite, Indre
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Journal of Big Data, 2019 Feature selection is mainly used to lessen the dispensation load of data mining models. To condense the time for processing voluminous data, parallel processing is carried out with MapReduce (MR) technique.
D. Renuka Devi, S. Sasikala
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An FPGA Implementation of Kak's Instantaneously-Trained, Fast-Classification Neural Networks [PDF]
, 2003 Motivated by a biologically plausible short-memory sketchpad, Kak's Fast Classification (FC) neural networks are instantaneously trained by using a prescriptive training scheme.
Sutton, P. R., Zhu, J.
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iGPCR-drug: a web server for predicting interaction between GPCRs and drugs in cellular networking.
PLoS ONE, 2013 Involved in many diseases such as cancer, diabetes, neurodegenerative, inflammatory and respiratory disorders, G-protein-coupled receptors (GPCRs) are among the most frequent targets of therapeutic drugs.
Xuan Xiao +3 more
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2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2019 Citizen science is becoming mainstream in a wide variety of real-world applications in astronomy or bioinformatics, in which, for example, classification tasks by experts are very time consuming. These projects engage amateur volunteers that are tasked to manually classify unannotated examples.
Manuel Jimenez +3 more
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