标题
A survey of machine learning for big data processing
作者
关键词
Machine learning, Big data, Data mining, Signal processing techniques
出版物
EURASIP Journal on Advances in Signal Processing
Volume 2016, Issue 1, Pages -
出版商
Springer Nature
发表日期
2016-05-28
DOI
10.1186/s13634-016-0355-x
参考文献
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。- Vision-Based Human Tracking Control of a Wheeled Inverted Pendulum Robot
- (2016) Weiquan Ye et al. IEEE Transactions on Cybernetics
- Communication Theoretic Data Analytics
- (2015) Kwang-Cheng Chen et al. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
- A Set of Complexity Measures Designed for Applying Meta-Learning to Instance Selection
- (2015) Enrique Leyva et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Hybrid Random/Deterministic Parallel Algorithms for Convex and Nonconvex Big Data Optimization
- (2015) Amir Daneshmand et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- Subspace Learning and Imputation for Streaming Big Data Matrices and Tensors
- (2015) Morteza Mardani et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- Distributed learning for Random Vector Functional-Link networks
- (2015) Simone Scardapane et al. INFORMATION SCIENCES
- Real-Time Load Elasticity Tracking and Pricing for Electric Vehicle Charging
- (2015) Nasim Yahya Soltani et al. IEEE Transactions on Smart Grid
- Data Mining for Internet of Things: A Survey
- (2014) Chun-Wei Tsai et al. IEEE Communications Surveys and Tutorials
- Challenges in 5G: how to empower SON with big data for enabling 5G
- (2014) Ali Imran et al. IEEE NETWORK
- Stochastic Approximation vis-a-vis Online Learning for Big Data Analytics [Lecture Notes]
- (2014) Konstantinos Slavakis et al. IEEE SIGNAL PROCESSING MAGAZINE
- Outlying Sequence Detection in Large Data Sets: A data-driven approach
- (2014) Ali Tajer et al. IEEE SIGNAL PROCESSING MAGAZINE
- Convex Optimization for Big Data: Scalable, randomized, and parallel algorithms for big data analytics
- (2014) Volkan Cevher et al. IEEE SIGNAL PROCESSING MAGAZINE
- Big Data Analysis with Signal Processing on Graphs: Representation and processing of massive data sets with irregular structure
- (2014) Aliaksei Sandryhaila et al. IEEE SIGNAL PROCESSING MAGAZINE
- Modeling and Optimization for Big Data Analytics: (Statistical) learning tools for our era of data deluge
- (2014) Konstantinos Slavakis et al. IEEE SIGNAL PROCESSING MAGAZINE
- Robust Spectrum Sensing With Crowd Sensors
- (2014) Guoru Ding et al. IEEE TRANSACTIONS ON COMMUNICATIONS
- A Rough Set-Based Method for Updating Decision Rules on Attribute Values’ Coarsening and Refining
- (2014) Hongmei Chen et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- A New Frequency Estimation Method for Equally and Unequally Spaced Data
- (2014) Fredrik Andersson et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- Big Data: A Survey
- (2014) Min Chen et al. MOBILE NETWORKS & APPLICATIONS
- Computer science: The learning machines
- (2014) Nicola Jones NATURE
- A Unifying Framework for Typical Multitask Multiple Kernel Learning Problems
- (2014) Cong Li et al. IEEE Transactions on Neural Networks and Learning Systems
- Toward Scalable Systems for Big Data Analytics: A Technology Tutorial
- (2014) Han Hu et al. IEEE Access
- Big Data Deep Learning: Challenges and Perspectives
- (2014) Xue-Wen Chen et al. IEEE Access
- Cognitive Internet of Things: A New Paradigm Beyond Connection
- (2014) Qihui Wu et al. IEEE Internet of Things Journal
- Analyzing Local Structure in Kernel-Based Learning: Explanation, Complexity, and Reliability Assessment
- (2013) Gregoire Montavon et al. IEEE SIGNAL PROCESSING MAGAZINE
- Kernel-Based Learning for Statistical Signal Processing in Cognitive Radio Networks: Theoretical Foundations, Example Applications, and Future Directions
- (2013) Guoru Ding et al. IEEE SIGNAL PROCESSING MAGAZINE
- Design of Optimal Sparse Feedback Gains via the Alternating Direction Method of Multipliers
- (2013) Fu Lin et al. IEEE TRANSACTIONS ON AUTOMATIC CONTROL
- Active Learning without Knowing Individual Instance Labels: A Pairwise Label Homogeneity Query Approach
- (2013) Yifan Fu et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Online Feature Selection and Its Applications
- (2013) Jialei Wang et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Data mining with big data
- (2013) Xindong Wu et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Representation Learning: A Review and New Perspectives
- (2013) Y. Bengio et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Multidimensional Dirichlet Process-Based Non-Parametric Signal Classification for Autonomous Self-Learning Cognitive Radios
- (2013) Mario Bkassiny et al. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
- Spatial-Temporal Opportunity Detection for Spectrum-Heterogeneous Cognitive Radio Networks: Two-Dimensional Sensing
- (2013) Qihui Wu et al. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
- Machine learning for science and society
- (2013) Cynthia Rudin et al. MACHINE LEARNING
- Extreme learning machine and its applications
- (2013) Shifei Ding et al. NEURAL COMPUTING & APPLICATIONS
- Active Learning: Any Value for Classification of Remotely Sensed Data?
- (2013) Melba M. Crawford et al. PROCEEDINGS OF THE IEEE
- Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
- (2012) Geoffrey Hinton et al. IEEE SIGNAL PROCESSING MAGAZINE
- Parallel approaches to machine learning—A comprehensive survey
- (2012) Sujatha R. Upadhyaya JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
- An online incremental learning support vector machine for large-scale data
- (2012) Jun Zheng et al. NEURAL COMPUTING & APPLICATIONS
- A Survey of Active Learning Algorithms for Supervised Remote Sensing Image Classification
- (2011) Devis Tuia et al. IEEE Journal of Selected Topics in Signal Processing
- Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition
- (2011) G. E. Dahl et al. IEEE Transactions on Audio Speech and Language Processing
- Multi-Domain Sentiment Classification with Classifier Combination
- (2011) Shou-Shan Li et al. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY
- Robust principal component analysis?
- (2011) Emmanuel J. Candès et al. JOURNAL OF THE ACM
- Adaptive Multiregression in Reproducing Kernel Hilbert Spaces: The Multiaccess MIMO Channel Case
- (2011) K. Slavakis et al. IEEE Transactions on Neural Networks and Learning Systems
- A view of cloud computing
- (2010) Michael Armbrust et al. COMMUNICATIONS OF THE ACM
- Deep Machine Learning - A New Frontier in Artificial Intelligence Research [Research Frontier]
- (2010) I Arel et al. IEEE Computational Intelligence Magazine
- Adaptive Learning in a World of Projections
- (2010) Sergios Theodoridis et al. IEEE SIGNAL PROCESSING MAGAZINE
- Deep Learning and Its Applications to Signal and Information Processing [Exploratory DSP
- (2010) Dong Yu et al. IEEE SIGNAL PROCESSING MAGAZINE
- Bridging Domains Using World Wide Knowledge for Transfer Learning
- (2010) Evan Wei Xiang et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Attribute-Distributed Learning: Models, Limits, and Algorithms
- (2010) Haipeng Zheng et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- Distributed Q-Learning for Aggregated Interference Control in Cognitive Radio Networks
- (2010) Ana Galindo-Serrano et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- Deep, Big, Simple Neural Nets for Handwritten Digit Recognition
- (2010) Dan Claudiu Cireşan et al. NEURAL COMPUTATION
- MapReduce
- (2009) Jeffrey Dean et al. COMMUNICATIONS OF THE ACM
- Cloud Computing: Distributed Internet Computing for IT and Scientific Research
- (2009) Marios D. Dikaiakos et al. IEEE INTERNET COMPUTING
- Using Stacked Generalization to Combine SVMs in Magnitude and Shape Feature Spaces for Classification of Hyperspectral Data
- (2009) Jin Chen et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- A Survey on Transfer Learning
- (2009) Sinno Jialin Pan et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Decision Trees for Uncertain Data
- (2009) Smith Tsang et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Local-Learning-Based Feature Selection for High-Dimensional Data Analysis
- (2009) Yijun Sun et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Adaptive Constrained Learning in Reproducing Kernel Hilbert Spaces: The Robust Beamforming Case
- (2009) K. Slavakis et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- MapReduce
- (2008) Jeffrey Dean et al. COMMUNICATIONS OF THE ACM
- Online Kernel-Based Classification Using Adaptive Projection Algorithms
- (2008) K. Slavakis et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- Reinforcement Learning for Structural Control
- (2008) Bernard Adam et al. JOURNAL OF COMPUTING IN CIVIL ENGINEERING
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started