相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Hierarchical electricity time series prediction with cluster analysis and sparse penalty
Yue Pang et al.
PATTERN RECOGNITION (2022)
Unsupervised meta-learning for few-shot learning
Hui Xu et al.
PATTERN RECOGNITION (2021)
InceptionTime: Finding AlexNet for time series classification
Hassan Ismail Fawaz et al.
DATA MINING AND KNOWLEDGE DISCOVERY (2020)
The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances
Anthony Bagnall et al.
DATA MINING AND KNOWLEDGE DISCOVERY (2017)
Using dynamic time warping distances as features for improved time series classification
Rohit J. Kate
DATA MINING AND KNOWLEDGE DISCOVERY (2016)
Similarity Measure Selection for Clustering Time Series Databases
Usue Mori et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2016)
Meta-learning to select the best meta-heuristic for the Traveling Salesman Problem: A comparison of meta-features
Jorge Kanda et al.
NEUROCOMPUTING (2016)
The BOSS is concerned with time series classification in the presence of noise
Patrick Schaefer
DATA MINING AND KNOWLEDGE DISCOVERY (2015)
Classification of time series by shapelet transformation
Jon Hills et al.
DATA MINING AND KNOWLEDGE DISCOVERY (2014)
CID: an efficient complexity-invariant distance for time series
Gustavo E. A. P. A. Batista et al.
DATA MINING AND KNOWLEDGE DISCOVERY (2014)
Automatic classifier selection for non-experts
Matthias Reif et al.
PATTERN ANALYSIS AND APPLICATIONS (2014)
Using derivatives in a longest common subsequence dissimilarity measure for time series classification
Tomasz Gorecki
PATTERN RECOGNITION LETTERS (2014)
Using derivatives in time series classification
Tomasz Gorecki et al.
DATA MINING AND KNOWLEDGE DISCOVERY (2013)
Load forecasting using a multivariate meta-learning system
Marin Matijas et al.
EXPERT SYSTEMS WITH APPLICATIONS (2013)
The Move-Split-Merge Metric for Time Series
Alexandra Stefan et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2013)
A Bag-of-Features Framework to Classify Time Series
Mustafa Gokce Baydogan et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2013)
A time series forest for classification and feature extraction
Houtao Deng et al.
INFORMATION SCIENCES (2013)
Time-Series Data Mining
Philippe Esling et al.
ACM COMPUTING SURVEYS (2012)
K Rotation-invariant similarity in time series using bag-of-patterns representation
Jessica Lin et al.
JOURNAL OF INTELLIGENT INFORMATION SYSTEMS (2012)
Weighted dynamic time warping for time series classification
Young-Seon Jeong et al.
PATTERN RECOGNITION (2011)
Time Warp Edit Distance with Stiffness Adjustment for Time Series Matching
Pierre-Francois Marteau
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2009)
Rule induction for forecasting method selection: Meta-learning the characteristics of univariate time series
Xiaozhe Wang et al.
NEUROCOMPUTING (2009)
ML-KNN: A lazy learning approach to multi-label leaming
Min-Ling Zhang et al.
PATTERN RECOGNITION (2007)
Rotation forest:: A new classifier ensemble method
Juan J. Rodriguez et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2006)
Ranking learning algorithms: Using IBL and meta-learning on accuracy and time results
PB Brazdil et al.
MACHINE LEARNING (2003)
Comparing top k lists
R Fagin et al.
SIAM JOURNAL ON DISCRETE MATHEMATICS (2003)