机器学习经典论文(转载)

Active Learning


  • Two Faces of Active Learning250, Dasgupta, 2011
  • Active Learning Literature Survey63, Settles, 2010

Applications

  • A Survey of Emerging Approaches to Spam Filtering58, Caruana, 2012
  • Ambient Intelligence: A Survey18, Sadri, 2011
  • A Survey of Online Failure Prediction Methods23, Salfner, 2010
  • Anomaly Detection: A Survey11, Chandola, 2009
  • Mining Data Streams: A Review14, Gaber, 2005
  • Workflow Mining: A Survey of Issues and Approaches9, Aalst, 2003

Biology

  • Support Vector Machines in Bioinformatics: a Survey43, Chicco, 2012
  • Computational Epigenetics: The New Scientific Paradigm 6, Lim, 2010
  • Automated Protein Structure Classification: A Survey10, Hassanzadeh, 2009
  • Chemoinformatics - An Introduction for Computer Scientists6, Brown, 2009
  • Computational Challenges in Systems Biology4, Heath, 2009
  • Computational Epigenetics 6, Bock, 2008
  • Progress and Challenges in Protein Structure Prediction5, Zhang, 2008
  • A Review of Feature Selection in Bioinformatics6, Saeys, 2007
  • Machine Learning in Bioinformatics: A Brief Survey and Recommendations for Practitioners13, Bhaskar, 2006
  • Bioinformatics - An Introduction for Computer Scientists2, Cohen, 2004
  • Computational Systems Biology2, Kitano, 2002
  • Protein Structure Prediction and Structural Genomics4, Baker, 2001
  • Recent Developments and Future Directions in Computational Genomics2, Tsoka, 2000
  • Molecular Biology for Computer Scientists1, Hunter, 1993

Classification

  • Supervised Machine Learning: A Review of Classification Techniques99, Kotsiantis, 2007

Clustering

  • XML Data Clustering: An Overview18, Algergawy, 2011
  • Data Clustering: 50 Years Beyond K-Means21, Jain, 2010
  • Clustering Stability: An Overview9, Luxburg, 2010
  • Parallel Clustering Algorithms: A Survey7, Kim, 2009
  • A Survey: Clustering Ensembles Techniques3, Ghaemi, 2009
  • A Tutorial on Spectral Clustering9, Luxburg, 2007
  • Survey of Clustering Data Mining Techniques4, Berkhin, 2006
  • Survey of Clustering Algorithms7, Xu, 2005
  • Clustering of Time Series Data - A Survey4, Liao, 2005
  • Clustering Methods7, Rokach, 2005
  • Recent Advances in Clustering: A Brief Survey4, Kotsiantis, 2004
  • Subspace Clustering for High Dimensional Data: A Review2, Parsons, 2004
  • Unsupervised and Semi-supervised Clustering: a Brief Survey4, Grira, 2004
  • Clustering in Life Sciences3, Zhao, 2002
  • On Clustering Validation Techniques2, Halkidi, 2001
  • Data Clustering: A Review4, Jain, 1999
  • A Survey of Fuzzy Clustering5, Yang, 1993

Computer Vision

  • Pedestrian Detection: An Evaluation of the State of the Art26, Dollar, 2012
  • A Comparative Study of Palmprint Recognition Algorithms10, Zhang, 2012
  • Human Activity Analysis: A Review6, Aggarwal, 2011
  • Subspace Methods for Face Recognition7, Rao, 2010
  • Context Based Object Categorization: A Critical Survey5, Galleguillos, 2010
  • Object tracking: A Survey11, Yilmaz, 2006
  • Detecting Faces in Images: A Survey8, Yang, 2002

Databases

  • Data Fusion10, Bleiholder, 2008
  • Duplicate Record Detection: A Survey2, Elmagarmid, 2007
  • Overview of Record Linkage and Current Research Directions2, Winkler, 2006
  • A Survey of Schema-based Matching Approaches3, Shvaiko, 2005

Deep Learning

  • Representation Learning: A Review and New Perspectives84, Bengio, 2012

Dimension Reduction

  • Dimensionality Reduction: A Comparative Review12, Maaten, 2009
  • Dimension Reduction: A Guided Tour5, Burges, 2009
  • A Survey of Manifold-Based Learning Methods2, Huo, 2007
  • Toward Integrating Feature Selection Algorithms for Classification and Clustering4, Liu, 2005
  • An Introduction to Variable and Feature Selection4, Guyon, 2003
  • A Survey of Dimension Reduction Techniques3, Fodor, 2002

Economics

  • Auctions and Bidding: A Guide for Computer Scientists8, Parsons, 2011
  • Computational Sustainability2, Gomes, 2009
  • Computational Finance5, Tsang, 2004

Game Theory

  • Computer Poker: A Review14, Rubin, 2011

Graphical Models

  • An Introduction to Variational Methods for Graphical Models12, Jordan, 1999

Kernel Methods

  • Kernels for Vector-Valued Functions: a Review16, Alvarez, 2012

Learning Theory

  • Introduction to Statistical Learning Theory21, Bousquet, 2004

Machine Learning

  • A Few Useful Things to Know about Machine Learning35, Domingos, 2012
  • A Tutorial on Bayesian Nonparametric Models11, Blei, 2011
  • Decision Forests for Classification, Regression, Density Estimation, Manifold Learning and Semi-Supervised Learning7, Criminisi, 2011
  • Top 10 Algorithms in Data Mining24, Wu, 2008
  • Semi-Supervised Learning Literature Survey2, Zhu, 2007
  • Interestingness Measures for Data Mining: A Survey1, Geng, 2006
  • A Survey of Interestingness Measures for Knowledge Discovery3, McGarry, 2005
  • A Tutorial on the Cross-Entropy Method, Boer, 2005
  • A Survey of Kernels for Structured Data1, Gartner, 2003
  • Survey on Frequent Pattern Mining, Goethals, 2003
  • The Boosting Approach to Machine Learning: An Overview3, Schapire, 2003
  • A Survey on Wavelet Applications in Data Mining, Li, 2002

Mathematics

  • Topology and Data18, Carlsson, 2009

Multi-armed Bandit

  • Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems9, Bubeck, 2012

Natural Computing

  • Reservoir Computing Approaches to Recurrent Neural Network Training, Jaeger, 2009
  • Artificial Immune Systems, Aickelin, 2005
  • A Survey of Evolutionary Algorithms for Data Mining and Knowledge Discovery1, Freitas?? , 2003
  • Data Mining in Soft Computing Framework: A Survey2, Mitra, 2002
  • Neural Networks for Classification: A Survey3, Zhang, 2000

Natural Language Processing

  • Probabilistic Topic Models8, Blei, 2012
  • Ontology Learning From Text: A Look Back And Into The Future2, Wong, 2012
  • Machine Transliteration Survey1, Karimi, 2011
  • Translation Techniques in Cross-Language Information Retrieval, Zhou, 2011
  • Comprehensive Review of Opinion Summarization1, Kim, 2011
  • A Survey on Sentiment Detection of Reviews, Tang, 2009
  • Word Sense Desambiguation: A Survey, Navigli, 2009
  • Topic Models3, Blei, 2009
  • Opinion Mining and Sentiment Analysis, Pang, 2008
  • Information Extraction2, Sarawagi, 2008
  • Statistical Machine Translation, Lopez, 2008
  • A Survey of Named Entity Recognition and Classification2, Nadeau, 2007
  • Adaptive Information Extraction, Turmo, 2006
  • Survey of Text Clustering1, Jing, 2005
  • Machine Learning in Automated Text Categorization, Sebastiani, 2002
  • Web Mining Research: A Survey, Kosala, 2000

Networks

  • Community Detection in Graphs2, Fortunato, 2010
  • A Survey of Statistical Network Models1, Goldenberg, 2010
  • Communities in Networks1, Porter, 2009
  • Graph Clustering2, Schaeffer, 2007
  • Graph Mining: Laws, Generators, and Algorithms4, Chakrabarti, 2006
  • Comparing Community Structure Identification2, Danon, 2005
  • Link Mining: A Survey3, Getoor, 2005
  • Detecting Community Structure in Networks1, Newman, 2004
  • Link Mining: A New Data Mining Challenge1, Getoor, 2003

On-Line Learning

  • On-Line Algorithms in Machine Learning8, Blum, 1998

Others

  • A Survey of Very Large-Scale Neighborhood Search Techniques, Ahuja, 2001

Planning and Scheduling

  • A Review of Machine Learning for Automated Planning3, Jimenez, 2009

Probabilistic

  • Approximate Policy Iteration: A Survey and Some New Methods1, Bertsekas, 2011
  • An Introduction to MCMC for Machine Learning1, Andrieu, 2003

Probabilistic Models

  • An Introduction to Conditional Random Fields7, Sutton, 2010

Randomized Algorithms

  • Randomized Algorithms for Matrices and Data2, Mahoney, 2011

Recommender Systems

  • Recent advances in Personalized Recommender Systems4, Liu, 2009
  • Matrix Factorization Techniques for Recommender Systems3, Koren, 2009
  • A Survey of Collaborative Filtering Techniques3, Su, 2009

Regression

  • Ensemble Approaches for Regression: a Survey12, Moreira, 2012

Reinforcement Learning

  • A Survey of Reinforcement Learning in Relational Domains9, Otterlo, 2005
  • Reinforcement Learning: A Survey4, Kaelbling, 1996

Rule Learning

  • Association Mining1, Ceglar, 2006
  • Algorithms for Association Rule Mining - A General Survey and Comparison1, Hipp, 2000

Testing

  • Controlled Experiments on the Web: Survey and Practical Guide, Kohavi, 2009

Time Series

  • Time-Series Data Mining9, Esling, 2012
  • A Review on Time Series Data Mining6, Fu, 2011
  • Discrete Wavelet Transform-Based Time Series Analysis and Mining2, Chaovalit, 2011

Transfer Learning

  • A Survey on Transfer Learning5, Pan, 2010

Web Mining

  • A Taxonomy of Sequential Pattern Mining Algorithms1, Mabroukeh, 2010
  • A Survey of Web Clustering Engines, Carpineto, 2009
  • Web Page Classification: Features and Algorithms2, Qi, 2009
  • Mining Interesting Knowledge from Weblogs: A Survey, Facca, 2005
  • An Overview of Web Data Clustering Practices, Vakali, 2005
  • A Survey of Web Metrics1, Dhyani, 2002
  • Data Mining for Hypertext: A Tutorial Survey5, Chakrabarti, 2000

http://www.mlsurveys.com/ 27

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