机器学习经典论文.zip

【实例简介】
机器学习经典论文.zip，都为国外的英文文献，可以试着阅读
【实例截图】
【核心代码】
机器学习经典论文.rar
├── active learning
│   ├── Active Learning Literature Survey, Settles, 2010.pdf
│   └── Two Faces of Active Learning, Dasgupta, 2011.pdf
├── Applications
│   ├── Ambient Intelligence_ A Survey.pdf
│   ├── Anomaly Detection_ A Survey.pdf
│   ├── A Survey of Emerging Approaches to Spam Filtering, Caruana, 2012.pdf
│   ├── A Survey of Online Failure Prediction Methods.pdf
│   ├── Mining Data Streams_ A Review.pdf
│   └── Workflow Mining_ A Survey of Issues and Approaches.pdf
├── Biology
│   ├── A Review of Feature Selection in Bioinformatics.pdf
│   ├── Bioinformatics - An Introduction for Computer Scientists.pdf
│   ├── Chemoinformatics - An Introduction for Computer Scientists.pdf
│   ├── Computational Challenges in Systems Biology.pdf
│   ├── Computational Epigenetics.pdf
│   ├── Computational Systems Biology.pdf
│   ├── Machine Learning in Bioinformatics_ A Brief Survey and Recommendations for Practitioners.pdf
│   ├── Molecular Biology for Computer Scientists.pdf
│   ├── Progress and Challenges in Protein Structure Prediction.pdf
│   ├── Protein Structure Prediction and Structural Genomics.pdf
│   ├── Recent Developments and Future Directions in Computational Genomics.pdf
│   └── Support Vector Machines in Bioinformatics_ a Survey.pdf
├── Classification
│   └── Supervised Machine Learning_ A Review of Classification Techniques.pdf
├── Clustering
│   ├── A Survey_ Clustering Ensembles Techniques.pdf
│   ├── A Survey of Fuzzy Clustering.pdf
│   ├── A Tutorial on Spectral Clustering.pdf
│   ├── Clustering in Life Sciences.pdf
│   ├── Clustering Methods.pdf
│   ├── Clustering of Time Series Data - A Survey.pdf
│   ├── Clustering Stability_ An Overview.pdf
│   ├── Computational Epigenetics_ The New Scientific Paradigm.pdf
│   ├── Data Clustering_ 50 Years Beyond K-Means.pdf
│   ├── Data Clustering_ A Review.pdf
│   ├── On Clustering Validation Techniques.pdf
│   ├── Parallel Clustering Algorithms_ A Survey.pdf
│   ├── Recent Advances in Clustering_ A Brief Survey.pdf
│   ├── Subspace Clustering for High Dimensional Data_ A Review.pdf
│   ├── Survey of Clustering Algorithms.pdf
│   ├── Survey of Clustering Data Mining Techniques.pdf
│   ├── Unsupervised and Semi-supervised Clustering_ a Brief Survey.pdf
│   └── XML Data Clustering_ An Overview.pdf
├── Computer Vision
│   ├── A Comparative Study of Palmprint Recognition Algorithms.pdf
│   ├── Context Based Object Categorization_ A Critical Survey.pdf
│   ├── Detecting Faces in Images_ A Survey.pdf
│   ├── Human Activity Analysis_ A Review.pdf
│   ├── Object tracking_ A Survey.pdf
│   ├── Pedestrian Detection_ An Evaluation of the State of the Art.pdf
│   └── Subspace Methods for Face Recognition.pdf
├── Databases
│   ├── A Survey of Schema-based Matching Approaches.pdf
│   ├── Data Fusion.pdf
│   ├── Duplicate Record Detection_ A Survey.pdf
│   └── Overview of Record Linkage and Current Research Directions.pdf
├── deep learning
│   └── Representation Learning_ A Review and New Perspectives.pdf
├── Dimension Reduction
│   ├── An Introduction to Variable and Feature Selection.pdf
│   ├── A Survey of Dimension Reduction Techniques.pdf
│   ├── A Survey of Manifold-Based Learning Methods.pdf
│   ├── Dimensionality Reduction_ A Comparative Review.pdf
│   ├── Dimension Reduction_ A Guided Tour.pdf
│   └── Toward Integrating Feature Selection Algorithms for Classification and Clustering.pdf
├── Economics
│   ├── Auctions and Bidding_ A Guide for Computer Scientists.pdf
│   ├── Computational Finance.pdf
│   └── Computational Sustainability.pdf
├── Game Theory
│   └── Computer Poker_ A Review.pdf
├── Graphical Models
│   └── An Introduction to Variational Methods for Graphical Models.pdf
├── kernel methods
│   └── Kernels for Vector-Valued Functions_ a Review.pdf
├── Learning Theory
│   └── Introduction to Statistical Learning Theory.pdf
└── Machine Learning
├── A Few Useful Things to Know about Machine Learning.pdf
├── A Survey of Interestingness Measures for Knowledge Discovery.pdf
├── A Survey on Wavelet Applications in Data Mining.pdf
├── A Tutorial on Bayesian Nonparametric Models.pdf
├── A Tutorial on the Cross-Entropy Method.pdf
├── Decision Forests for Classification, Regression, Density Estimation, Manifold Learning and Semi-Supervised Learning.pdf
├── Interestingness Measures for Data Mining_ A Survey.pdf
├── Semi-Supervised Learning Literature Survey.pdf
├── Survey on Frequent Pattern Mining.pdf
├── The Boosting Approach to Machine Learning_ An Overview.pdf
└── Top 10 Algorithms in Data Mining.pdf

15 directories, 75 files