Výsledky vyhledávání - "memory-based algorithms"

How can we predict transportation stock prices using artificial intelligence? Findings from experiments with Long Short-Term Memory based algorithms Autor Kristiyanti, Dinar Ajeng, Pramudya, Willibrordus Bayu Nova, Sanjaya, Samuel Ady

“…•Predict transport stock prices using LSTM with different activations and optimizers.•Compare LSTM performance across different activations and…”
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Applying landmarks to enhance memory-based collaborative filtering Autor Lima, Gustavo R., Mello, Carlos E., Lyra, Adria, Zimbrao, Geraldo

“…Memory-based Collaborative Filtering (CF) has been a widely used approach for personalised recommendation with considerable success in many applications. An…”
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Shared Memory-based Algorithms for MPI Irregular Collective Operations Autor Romanyuta, Alexey, Kurnosov, Mikhail

“…Algorithms for MPI_Scatterv, MPI_Gatherv and MPI_Allgatherv collective operations using the shared memory of SMP/NUMA machine are proposed. The algorithms use…”
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An efficient memory-based electromagnetism-like mechanism for the redundancy allocation problem Autor Teimouri, Mohammad, Zaretalab, Arash, Niaki, S.T.A., Sharifi, Mani

“…•An efficient MBEM is proposed to solve the redundancy allocation problem.•MBEM employs a memory matrix in local search to save the features of good…”
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Main Memory-Based Algorithms for Efficient Parallel Aggregation for Temporal Databases Autor Gao, Dengfeng, Gendrano, Jose Alvin G., Moon, Bongki, Snodgrass, Richard T., Park, Minseok, Huang, Bruce C., Rodrigue, Jim M.

“…The ability to model the temporal dimension is essential to many applications. Furthermore, the rate of increase in database size and stringency of response…”
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Memory-Based Algorithms for Abrupt Change Detection in Sensor Data Streams Autor Nikovski, D., Jain, A.

“…This paper describes two novel learning algorithms for abrupt change detection in multivariate sensor data streams that can be applied when no explicit models…”
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Memory-Assisted Dynamic Multi-Objective Evolutionary Algorithm for Feature Drift Problem Autor Sahmoud, Shaaban, Topcuoglu, Haluk Rahmi

“…In this paper, we propose an enhanced feature selection algorithm able to cope with feature drift problem that may occur in data streams, where the set of…”
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Residual Neural Network and Long Short-Term Memory-Based Algorithm for Estimating the Motion Trajectory of Inertial Measurement Units Autor Lin, Bor-Shing, Lee, I-Jung, Wang, Shun-Pu, Chen, Jean-Lon, Lin, Bor-Shyh

“…Motion trajectory is a technology used in smart medicine, rehabilitation engineering, and interactive games. Studies have proposed several motion trajectory…”
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A flexible adaptive memory-based algorithm for real-life transportation operations: Two case studies from dairy and construction sector Autor Tarantilis, C.D., Kiranoudis, C.T.

“…Effective routing of vehicles remains a focal goal of all modern enterprises, thriving for excellence in project management with minimal investment and…”
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Solving the energy-efficient Robotic Mixed-Model Assembly Line balancing problem using a Memory-Based Cuckoo Search Algorithm Autor Belkharroubi, Lakhdar, Yahyaoui, Khadidja

“…Minimizing energy consumption is an important issue in robotic assembly lines where a set of robots are assigned to a set of workstations to perform different…”
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A flexible adaptive memory-based algorithm for real-life transportation operations : Two case studies from dairy and construction sector : Applications of Metaheuristics Autor TARANTILIS, C. D, KIRANOUDIS, C. T

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Using machine learning and deep learning algorithms for downtime minimization in manufacturing systems: an early failure detection diagnostic service Autor Shahin, Mohammad, Chen, F. Frank, Hosseinzadeh, Ali, Zand, Neda

“…Accurate detection of possible machine failure allows manufacturers to identify potential fault situations in processes to avoid downtimes caused by unexpected…”
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Prediction of Global Ionospheric TEC Based on Deep Learning Autor Chen, Zhou, Liao, Wenti, Li, Haimeng, Wang, Jinsong, Deng, Xiaohua, Hong, Sheng

“…The accurate prediction of ionospheric Total Electron Content (TEC) is important for global navigation satellite systems (GNSS), satellite communications and…”
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Collaborative recommender systems: Combining effectiveness and efficiency Autor Symeonidis, Panagiotis, Nanopoulos, Alexandros, Papadopoulos, Apostolos N., Manolopoulos, Yannis

“… Memory-based algorithms recommend according to the preferences of nearest neighbors, and model-based algorithms recommend by first developing a model of user ratings…”
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A New Similarity Measure Based on Mean Measure of Divergence for Collaborative Filtering in Sparse Environment Autor Suryakant, Mahara, Tripti

“…Memory based algorithms, often referred to as similarity based Collaborative Filtering (CF…”
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Solving Dynamic Multiobjective Optimization Problems via Feedback-Guided Transfer and Trend Manifold Prediction Autor Wang, Yong, Li, Kuichao, Wang, Gai-Ge, Gong, Dunwei, Li, Keqin

“… Many prediction- and memory-based algorithms have been recently proposed for meeting these requirements…”
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Merging user and item based collaborative filtering to alleviate data sparsity Autor Kant, Surya, Mahara, Tripti

“…Memory based algorithms, generally referred as similarity based Collaborative Filtering (CF…”
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iTri: Index-based triangle listing in massive graphs Autor Rasel, Mostofa Kamal, Han, Yongkoo, Kim, Jinseung, Park, Kisung, Tu, Nguyen Anh, Lee, Young-Koo

“… Thus, external memory-based algorithms have been proposed recently, but these approaches still require frequent multiple scans of the whole graph on the disk and large volumes of calculations…”
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Comparative Study on Influences of False Negative Ratings in Collaborative Filtering with Fuzzy Co-Clustering Autor Honda, Katsuhiro, Lee, Jun-Seo, Ubukata, Seiki, Notsu, Akira

“…Collaborative filtering-based personalized recommendation can be achieved by two main approaches of memory-based algorithms and model-based algorithms…”
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Hybrid query execution engine for large attributed graphs Autor Sakr, Sherif, Elnikety, Sameh, He, Yuxiong

“…Graphs are widely used for modeling complicated data such as social networks, bibliographical networks and knowledge bases. The growing sizes of graph…”
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