A novel prediction method of complex univariate time series based on k-means clustering
暂无分享,去创建一个
[1] David Sankoff,et al. Distinguishing successive ancient polyploidy levels based on genome-internal syntenic alignment , 2019, BMC Bioinformatics.
[2] Jie Zhang,et al. LSTM-EFG for wind power forecasting based on sequential correlation features , 2019, Future Gener. Comput. Syst..
[3] Changzhen Hu,et al. Predicting blood pressure from physiological index data using the SVR algorithm , 2019, BMC Bioinformatics.
[4] Heeyoul Choi. Persistent Hidden States and Nonlinear Transformation for Long Short-Term Memory , 2019, Neurocomputing.
[5] Zhen Liu,et al. DBS: a fast and informative segmentation algorithm for DNA copy number analysis , 2019, BMC Bioinformatics.
[6] Ha Young Kim,et al. ModAugNet: A new forecasting framework for stock market index value with an overfitting prevention LSTM module and a prediction LSTM module , 2018, Expert Syst. Appl..
[7] A. Bustamam,et al. Implementation χ–sim co-similarity and agglomerative hierarchical to cluster gene expression data of lymphoma by gene and condition , 2018 .
[8] Implementation of co-similarity measure on microarray data of lymphoma using K-means partition algorithm , 2018 .
[9] Shou-De Lin,et al. A Memory-Network Based Solution for Multivariate Time-Series Forecasting , 2018, ArXiv.
[10] Haiping Wu,et al. Multi-step wind speed forecasting using EWT decomposition, LSTM principal computing, RELM subordinate computing and IEWT reconstruction , 2018, Energy Conversion and Management.
[11] Jian Zhou,et al. Echo State Network with Multiple Loops Reservoir and its Application in Network Traffic Prediction , 2018, 2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design ((CSCWD)).
[12] Li Tang,et al. PANK-A financial time series prediction model integrating principal component analysis, affinity propagation clustering and nested k-nearest neighbor regression , 2018 .
[13] Hong-Sen Yan,et al. PRODUCT PRICE FORECASTING BASED ON CORRELATIVE PRICE NET AND NEURAL NETWORKS , 2017 .
[14] Suryakanth V. Gangashetty,et al. Deep Elman recurrent neural networks for statistical parametric speech synthesis , 2017, Speech Commun..
[15] Liang Cai. Research on Distributed Data Mining Technology based on K-mean Algorithm , 2017 .
[16] Garrison W. Cottrell,et al. A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction , 2017, IJCAI.
[17] Ashfaqur Rahman,et al. Recurrent Neural Networks for One Day Ahead Prediction of Stream Flow , 2016, TSAA '16.
[18] Mirella Lapata,et al. Long Short-Term Memory-Networks for Machine Reading , 2016, EMNLP.
[19] Stephen G. Hall,et al. ARIMA Models and the Box-Jenkins Methodology , 2016 .
[20] Roger Frigola,et al. Bayesian Time Series Learning with Gaussian Processes , 2015 .
[21] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[22] Yoshua Bengio,et al. Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.
[23] Yoshua Bengio,et al. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation , 2014, EMNLP.
[24] Carlos Agón,et al. Time-series data mining , 2012, CSUR.
[25] Dong Zhou,et al. Translation techniques in cross-language information retrieval , 2012, CSUR.
[26] Tak-Chung Fu,et al. A review on time series data mining , 2011, Eng. Appl. Artif. Intell..
[27] Sergei Vassilvitskii,et al. k-means++: the advantages of careful seeding , 2007, SODA '07.
[28] T. Warren Liao,et al. Clustering of time series data - a survey , 2005, Pattern Recognit..
[29] Sariel Har-Peled,et al. Smaller Coresets for k-Median and k-Means Clustering , 2005, SCG.
[30] J. Elman. Distributed Representations, Simple Recurrent Networks, And Grammatical Structure , 1991, Machine Learning.
[31] Liu Zhen-tang,et al. Principle of Predicting Coal and Gas Outburst Using Electromagnetic Emission , 2000 .
[32] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[33] Gerald L. Morrison,et al. Comparison of orifice and slotted plate flowmeters , 1994 .
[34] P. Brockwell,et al. Time Series: Theory and Methods , 2013 .
[35] D. Dickey. Time Series Theory and Methods , 1989 .
[36] Peter Whittle,et al. Hypothesis Testing in Time Series Analysis. , 1951 .