暂无分享,去创建一个
[1] Vasilios A. Siris,et al. Application of anomaly detection algorithms for detecting SYN flooding attacks , 2004, IEEE Global Telecommunications Conference, 2004. GLOBECOM '04..
[2] Chandra Erdman,et al. A fast Bayesian change point analysis for the segmentation of microarray data , 2008, Bioinform..
[3] Karsten M. Borgwardt,et al. Covariate Shift by Kernel Mean Matching , 2009, NIPS 2009.
[4] Kyong Joo Oh,et al. Analyzing Stock Market Tick Data Using Piecewise Nonlinear Model , 2022 .
[5] Ryan P. Adams,et al. Bayesian Online Changepoint Detection , 2007, 0710.3742.
[6] Yoshinobu Kawahara,et al. Change-Point Detection in Time-Series Data Based on Subspace Identification , 2007, Seventh IEEE International Conference on Data Mining (ICDM 2007).
[7] Nigel Collier,et al. Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation , 2012, Neural Networks.
[8] Graham J. Williams,et al. On-Line Unsupervised Outlier Detection Using Finite Mixtures with Discounting Learning Algorithms , 2000, KDD '00.
[9] V. Moskvina,et al. Application of the singular spectrum analysis for change-point detection in time series , 2006 .
[10] D. Siegmund,et al. Sequential multi-sensor change-point detection , 2012, 2013 Information Theory and Applications Workshop (ITA).
[11] F. Gustafsson. The marginalized likelihood ratio test for detecting abrupt changes , 1996, IEEE Trans. Autom. Control..
[12] J. Bai,et al. Estimation of a Change Point in Multiple Regression Models , 1997, Review of Economics and Statistics.
[13] Jaideep Srivastava,et al. Event detection from time series data , 1999, KDD '99.
[14] Ruby B. Lee,et al. Implicit Smartphone User Authentication with Sensors and Contextual Machine Learning , 2017, 2017 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN).
[15] Michèle Basseville,et al. Detection of abrupt changes: theory and application , 1993 .
[16] J. Hartigan,et al. A Bayesian Analysis for Change Point Problems , 1993 .
[17] Takafumi Kanamori,et al. Density Ratio Estimation in Machine Learning , 2012 .
[18] P. Fearnhead,et al. Optimal detection of changepoints with a linear computational cost , 2011, 1101.1438.
[19] Davide Anguita,et al. A Public Domain Dataset for Human Activity Recognition using Smartphones , 2013, ESANN.
[20] Yoshua Bengio,et al. Extracting and composing robust features with denoising autoencoders , 2008, ICML '08.
[21] G ShinKang,et al. Change-Point Monitoring for the Detection of DoS Attacks , 2004 .
[22] Piotr Fryzlewicz,et al. Wild binary segmentation for multiple change-point detection , 2014, 1411.0858.
[23] Elena Deza,et al. Encyclopedia of Distances , 2014 .
[24] L. Bottou. Stochastic Gradient Learning in Neural Networks , 1991 .
[25] Daniela Jarušková,et al. Some Problems with Application of Change-Point Detection Methods to Environmental Data , 1997 .
[26] B. Brodsky,et al. Nonparametric Methods in Change Point Problems , 1993 .
[27] Masashi Sugiyama,et al. Sequential change‐point detection based on direct density‐ratio estimation , 2012, Stat. Anal. Data Min..
[28] Fredrik Gustafsson,et al. Adaptive filtering and change detection , 2000 .
[29] Robert Lund,et al. A Review and Comparison of Changepoint Detection Techniques for Climate Data , 2007 .
[30] D. A. Hsu,et al. A Bayesian Robust Detection of Shift in the Risk Structure of Stock Market Returns , 1982 .
[31] Motoaki Kawanabe,et al. Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation , 2007, NIPS.
[32] Kenji Yamanishi,et al. A unifying framework for detecting outliers and change points from non-stationary time series data , 2002, KDD.
[33] B. Ray,et al. Bayesian methods for change‐point detection in long‐range dependent processes , 2002 .
[34] Tsuyoshi Idé,et al. Change-Point Detection using Krylov Subspace Learning , 2007, SDM.
[35] José Vinícius de Miranda Cardoso,et al. Anomalies Detection in Wireless Sensor Networks Using Bayesian Changepoints , 2016, 2016 IEEE 13th International Conference on Mobile Ad Hoc and Sensor Systems (MASS).
[36] Honglak Lee,et al. Sparse deep belief net model for visual area V2 , 2007, NIPS.
[37] Geoffrey E. Hinton,et al. Reducing the Dimensionality of Data with Neural Networks , 2006, Science.
[38] Takafumi Kanamori,et al. Statistical outlier detection using direct density ratio estimation , 2011, Knowledge and Information Systems.
[39] Steffen Bickel,et al. Discriminative learning for differing training and test distributions , 2007, ICML '07.
[40] Yanchun Liang,et al. Non-Parametric Change-Point Method for Differential Gene Expression Detection , 2011, PloS one.