Search Results - "unsupervised learning"

Unsupervised learning of facial expression components by Egede, Joy Onyekachukwu

Subjects: “…Unsupervised learning…”
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Challenges in supervised and unsupervised learning: a comprehensive overview by Almuqati, Mohammed Tuays, Sidi, Fatimah, Mohd Rum, Siti Nurulain, Zolkepli, Maslina, Ishak, Iskandar

“…Supervised and unsupervised learning are pivotal paradigms within this dynamic landscape, each presenting its unique challenges. …”
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Comparison of supervised and unsupervised learning classifiers for human posture recognition by Htike, Kyaw Kyaw, Khalifa, Othman Omran

“…Firstly, the system was trained and evaluated to classify five different human postures using both supervised and unsupervised learning classifiers. The supervised classifier used was Multilayer Perceptron Feedforward Neural Networks (MLP) whilst for unsupervised learning classifiers, Self Organizing Maps (SOM), Fuzzy C Means (FCM) and K Means have been employed. …”
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Modelling kernel methods for unsupervised learning of micro array data by Md. Sap, Mohd. Noor

“…Unsupervised learning, mostly represented by data clustering methods, is an important machine learning technique. …”
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Unsupervised learning algorithm for adaptive group formation: Collaborative learning support in remotely accessible laboratories by Mujkanovic, A., Lowe, D., Willey, K., Guetl, Christian

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Towards an open global Wi-Fi indoor positioning system via implicit crowdsourcing by Zhang, Dezhi

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A comparative sales forecast study between supervised and unsupervised learning algorithm on restaurant / Azhar Tamby by Tamby, Azhar

“…It is coming from supervised and unsupervised learning algorithm. The Kohonen Self Organizing Map represents the unsupervised and Backpropagation represent the supervised. …”
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A state of the art opinion mining and its application domains by Binali, Haji, Potdar, Vidyasagar, Wu, Chen

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State-of-the-art ensemble learning and unsupervised learning in fatigue crack recognition of glass fiber reinforced polyester composite (GFRP) using acoustic emission by Gholizadeh, S., Leman, Z., Baharudin, B.T.H.T.

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Unsupervised context detection using wireless signals by Phung, Dinh, Adams, Brett, Venkatesh, Svetha, Kumar, Mohan

Subjects: “…Context modeling - Spatio-temporal rhythm extraction - Probabilistic topic models - Hidden markov models - Unsupervised learning - Wireless signals…”
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Applications of Regression Enhanced Self-Organizing Incremental Neural Networks (RE-SOINN) in an embedded intelligent energy control system for off-grid systems by Puah, Boon Keat

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Operational structural damage identification using de-noised modal feature in machine learning / Chen Shilei by Chen , Shilei

“…Meanwhile, the unsupervised learning method using PCA-WCC features is good at detecting unknown damage, and is sensitive to low-severity damage. …”
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Global and local clustering soft assignment for intrusion detection system: a comparative study by Mohd Rizal Kadis, Azizi Abdullah

“…Machine Learning algorithm such as unsupervised learning and supervised learning is capable to solve the problem of classification in IDS. …”
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Integration Of Unsupervised Clustering Algorithm And Supervised Classifier For Pattern Recognition by Leong, Shi Xiang

“…There are two general paradigms for pattern recognition classification which are supervised and unsupervised learning. The problems in applying unsupervised learning/clustering is that this method requires teacher during the classification process and it has to learn independently which may lead to poor classification. …”
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An improved self organizing map using jaccard new measure for textual bugs data clustering by Ahmed, Attika

“…One of the commonly used algorithm for bug clustering is K-means, which is considered a simplest unsupervised learning algorithm for clustering, yet it tends to produce smaller number of cluster. …”
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An improved self organizing map using jaccard new measure for textual bugs data clustering by Ahmed, Attika

“…One of the commonly used algorithm for bug clustering is K-means, which is considered a simplest unsupervised learning algorithm for clustering, yet it tends to produce smaller number of cluster. …”
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Clustering for point pattern data by Tran, N., Vo, Ba Tuong, Phung, D., Vo, Ba-Ngu

“…Clustering is one of the most common unsupervised learning tasks in machine learning and data mining. …”
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High accuracy context recovery using clustering mechanisms by Phung, Dinh, Adams, Brett, Tran, Kha, Venkatesh, Svetha, Kumar, Mohan

“…Experimental results with real data are presented to validate the proposed unsupervised learning approach and demonstrate its applicability.…”
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Artificial neural network (ANN) as post-processing stage for chemically selective field effect transistor (CHEMFET) sensor selectivity based-on ion concentration / Nurhakimah Abd A... by Abd Aziz, Nurhakimah

“…Other than developing supervised learning, this study also was focusing on exploration of unsupervised learning mainly in blind source separation (BSS) algorithm to separate the interface signal. …”
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CSOM: self-organizing map for continuous data by Hadzic, Fedja, Dillon, Tharam S.

“…Nowadays, lots of data is being collected for different industrial and commercial purposes, where the aim is to discover useful patterns from data which leads to discovery of valuable domain knowledge. Unsupervised learning is a useful method for these tasks as it requires no target class and it clusters the feature values that occur frequently together. …”
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