Search Results - instance-based algorithm

A hybrid genetic—instance based learning algorithm for CE-QUAL-W2 calibration by Ostfeld, Avi, Salomons, Shani

“…–organic matter and sediment relationships. The proposed methodology is a combination of a ‘hurdle-race’ and a hybrid Genetic- k-Nearest Neighbor algorithm…”
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Prediction of Compressive Strength of Concrete and Rock Using an Elementary Instance-Based Learning Algorithm by Hsieh, Shun-Chieh

“… However, not much attention has been paid to instance-based learning (IBL) algorithms. Therefore, in order to predict material strength, as the direct method…”
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Advances in Instance Selection for Instance-Based Learning Algorithms by Brighton, Henry, Mellish, Chris

“… We argue against this position and introduce an algorithm that rivals the most successful existing algorithm…”
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Instance based algorithm for posterior probability calculation by target-decoy strategy to improve protein identifications by Jiang, Xinning, Dong, Xiaoli, Ye, Mingliang, Zou, Hanfa

“…), which is also determined based on a target-decoy database search. The peptide identification scores output by the database search algorithm were weighted by their discriminating power using a Shannon information entropy based strategy…”
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An Integrated Instance-Based Learning Algorithm by Wilson, D. Randall, Martinez, Tony R.

“… into a comprehensive learning system called the Integrated Decremental Instance‐Based Learning Algorithm (IDIBL…”
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An instance-based learning recommendation algorithm of imbalance handling methods by Zhang, Xueying, Li, Ruixian, Zhang, Bo, Yang, Yunxiang, Guo, Jing, Ji, Xiang

“… However, the most appropriate methods on different learning problems are diverse. Given an imbalance learning problem, we proposed an Instance-based Learning (IBL…”
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Democratic instance selection: A linear complexity instance selection algorithm based on classifier ensemble concepts by García-Osorio, César, de Haro-García, Aida, García-Pedrajas, Nicolás

“… Although current algorithms are useful for fairly large datasets, scaling problems are found when the number of instances is in the hundreds of thousands or millions…”
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Reduction Techniques for Instance-Based Learning Algorithms by Wilson, D Randall, Martinez, Tony R

“…Instance-based learning algorithms are often faced with the problem of deciding which instances to store for use during generalization…”
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Natural neighborhood graph-based instance reduction algorithm without parameters by Yang, Lijun, Zhu, Qingsheng, Huang, Jinlong, Cheng, Dongdong, Wu, Quanwang, Hong, Xiaolu

“…•It proposes a natural neighborhood graph-based instance reduction algorithm.•It solves the parameter selection problem because the proposed algorithm does not need any parameters…”
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A probabilistic framework for the design of instance-based supervised ranking algorithms in an ordinal setting by Lievens, S., De Baets, B., Cao-Van, K.

“…In this article, we present a probabilistic framework which serves as the base from which instance-based algorithms for solving the supervised ranking problem may be derived…”
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An optimized instance based learning algorithm for estimation of compressive strength of concrete by Ahmadi-Nedushan, Behrouz

“… content, super-plasticizer content, fly ash content, etc. The base algorithm used in this study is the k nearest neighbor algorithm, which is an instance-based machine leaning algorithm…”
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Detecting activities from body-worn accelerometers via instance-based algorithms by Bicocchi, Nicola, Mamei, Marco, Zambonelli, Franco

“… This paper discusses and experimentally evaluates instance-based algorithms to infer user activities on the basis of data acquired from body-worn accelerometer sensors…”
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A multi-stage active learning framework with an instance-based sample selection algorithm for steel surface defect by Gao, Shuo, Jiang, Yimin, Xia, Tangbin, Li, Yaping, Zhu, Ying, Xi, Lifeng

“…The application of deep learning (DL) for high-precision inspection to identify and locate the positions of each type of steel surface defect has demonstrated…”
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Comparative analysis of instance selection algorithms for instance-based classifiers in the context of medical decision support by Mazurowski, Maciej A, Malof, Jordan M, Tourassi, Georgia D

“… an instance-based classifier in terms of classification performance, time efficiency and storage requirements…”
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IBMvSVM: An instance-based multi-view SVM algorithm for classification by Yu, Shuang, Li, Xiongfei, Sun, Siru, Wang, Hancheng, Zhang, Xiaoli, Chen, Shiping

“… Recently, various Support Vector Machine (SVM)-based algorithms with solid theoretical foundation have been proposed for MVL…”
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RIONIDA: A novel algorithm for imbalanced data combining instance-based learning and rule induction by Góra, Grzegorz, Skowron, Andrzej

“…) learning algorithm based on combination of two widely-used empirical approaches: rule induction and instance-based learning for imbalanced data classification…”
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An Instance-Based Algorithm With Auxiliary Similarity Information for the Estimation of Gait Kinematics From Wearable Sensors by Goulermas, J.Y., Findlow, A.H., Nester, C.J., Liatsis, P., Xiao-Jun Zeng, Kenney, L., Tresadern, P., Thies, S.B., Howard, D.

“… To demonstrate the value of the GASI algorithm, hip, knee, and ankle joint motions are estimated from acceleration and angular velocity data for the foot and shank, collected using commercially…”
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ATISA: Adaptive Threshold-based Instance Selection Algorithm by Cavalcanti, George D.C., Ren, Tsang Ing, Pereira, Cesar Lima

“…•ATISA is faster than DROP3, ICF and HMN-EI. Instance reduction techniques can improve generalization, reduce storage requirements and execution time of instance-based learning algorithms…”
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Natural Neighbor Reduction Algorithm for Instance-based Learning by Yang, Lijun, Zhu, Qingsheng, Huang, Jinlong, Cheng, Dongdong, Zhang, Cheng

“… In this paper, a new hybrid algorithm called instance reduction algorithm based on natural neighbor and nearest enemy is presented…”
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Integration of Markov chain analysis and similarity-weighted instance-based machine learning algorithm (SimWeight) to simulate urban expansion by Bununu, Yakubu Aliyu

“… A hybrid model that integrates the similarity-weighted instance-based machine learning algorithm for transition potential modelling and the Markov chain model to quantify and allocate land-use change…”
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