Suchergebnisse - lazy supervised algorithm

Companion: A Social Support Generating Application for Lonely and Socially Isolated Individuals using Lazy Supervised Algorithm von Buctuanon, Marisa, Comabig, Xavier, Mayola, Wavina Vivienne

“… -being. Thus, this study develops Companion, an app that utilizes the KNN algorithm to create a social support group that matches a seeker to the group based on his interest and problem at hand. He finds new friends with whom he can feel a sense of care, love, understanding, and belongingness. It comes with a set of physical activities designed for the group. The algorithm yields an 84% accuracy rate after evaluating the result …”
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Investigating the Impact of Min-Max Data Normalization on the Regression Performance of K-Nearest Neighbor with Different Similarity Measurements von Muhammad Ali, Peshawa J.

“…  K-nearest neighbor (KNN) is a lazy supervised learning algorithm, which depends on computing the similarity between the target and the closest neighbor …”
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Batched Lazy Decision Trees von Guillame-Bert, Mathieu, Dubrawski, Artur

“… We introduce a batched lazy algorithm for supervised classification using decision trees …”
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Comparison of Machine Learning Land Use-Land Cover Supervised Classifiers Performance on Satellite Imagery Sentinel 2 using Lazy Predict Library von Muhamad Iqbal Januadi Putra, Vincent Alexander

“… The utilisation of various supervised classifier algorithms in classifying land use and land cover (LULC …”
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A Novel Density-Based KNN in Pattern Recognition von Klidbary, Sajad Haghzad, Arabameri, Abazar

“… The k-nearest neighbor learning algorithm is indeed one of the most commonly used supervised algorithms in machine learning …”
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Lazy texture selection based on active learning von Xia, Tian, Wu, Qing, Chen, Chun, Yu, Yizhou

“… An active learning algorithm uses these labeled data to obtain an initial classifier and iteratively improves it until its performance becomes satisfactory …”
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ATSO: Asynchronous Teacher-Student Optimization for Semi-Supervised Image Segmentation von Huo, Xinyue, Xie, Lingxi, He, Jianzhong, Yang, Zijie, Zhou, Wengang, Li, Houqiang, Tian, Qi

“… Semi-supervised learning is a useful tool for image segmentation, mainly due to its ability in extracting knowledge from unlabeled data to assist learning from labeled data …”
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An adaptive framework based on multi-model data fusion for one-day-ahead wind power forecasting von Vaccaro, A., Mercogliano, P., Schiano, P., Villacci, D.

“… The latter is based on a local learning algorithm, called the Lazy Learning (LL) algorithm. This algorithm is sequentially updated, in order to adapt the whole architecture …”
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A Comparative Study of Supervised Machine Learning Techniques for Spam E-mail Filtering von Panigrahi, P. K.

“… of supervised machine learning techniques such as Bayes algorithms, lazy algorithms, tree algorithms, neural network …”
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Integration of PSO-based advanced supervised learning techniques for classification data mining to predict heart failure von Mesran, Kmurawak, Remuz Mb, Windarto, Agus Perdana

“… This study proposes a novel approach for HF classification by integrating advanced supervised learning (ASL …”
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Ensemble of Supervised and Unsupervised Learning Models to Predict a Profitable Business Decision von Heidari, Maryam, Zad, Samira, Rafatirad, Setareh

“… In this paper, we carry out a comprehensive analysis and study of seven machine learning algorithms for rent prediction, including Linear Regression, Multilayer Perceptron, Random Forest, KNN …”
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Performance Assessment of Supervised Classifiers for Designing Intrusion Detection Systems: A Comprehensive Review and Recommendations for Future Research von Panigrahi, Ranjit, Borah, Samarjeet, Bhoi, Akash Kumar, Ijaz, Muhammad Fazal, Pramanik, Moumita, Jhaveri, Rutvij H., Chowdhary, Chiranji Lal

“… Numerous algorithms have been designed to address such complex application domains. Despite an enormous array of supervised classifiers, researchers are yet …”
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Real Time Lung Cancer Prediction Using Lazy Learning Technique von Jaswanth, K. Gowri, Adithya, P. Pavan, Eekshith, G. Sai, Hariharan, Shanmugasundaram, Kukreja, Vinay, Geetha, Dadala

“… This study utilizes supervised machine learning algorithms, including Support Vector Machine (SVM …”
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K Nearest Neighbor Based Model for Intrusion Detection System von Nikhitha, M., Jabbar, Dr.M.A.

“… KNN is a supervised and lazy machine learning classifier, it shows its best performance in terms of accuracy and classifications …”
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Infinite Lattice Learner: an ensemble for incremental learning von Lovinger, Justin, Valova, Iren

“… The state of the art in supervised learning has developed effective models for learning, generalizing, recognizing faces and images, time series prediction …”
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Comparison between Nearest Neighbours and Bayesian Network for demand forecasting in supply chain management von Gaur, Manas, Goel, Shruti, Jain, Eshaan

“… Machine Learning has found to be playing a significant role in solving issue of demand forecasting in supply chain management, where many traditional methods …”
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A Lazy Ensemble Learning Method to Classification von Homayouni, Haleh, Hashemi, Sattar, Hamzeh, Ali

“… Depending on how a learner reacts to the test instances, supervised learning divided into eager learning and lazy learning …”
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Coding schemes in neural networks learning classification tasks von van Meegen, Alexander, Sompolinsky, Haim

“… Indeed, with appropriate scaling, supervised learning in neural networks can result in strong, task-dependent feature learning …”
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Chinese question Classification using Multilevel Random Walk von Kepei Zhang, Jieyu Zhao

“… Question classification is crucial for the automatically question answering. And Random Walk is a promising approach for semi-supervised learning problems of learning from labeled and unlabeled data …”
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Certainty-Enhanced Active Learning for Improving Imbalanced Data Classification von Jui Hsi Fu, Sing Ling Lee

“… In active learning algorithms, informative samples are usually queried for true labels according to the disagreement of existing hypotheses …”
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