文件名称:机器学习必学系类经典论文
文件大小:69.24MB
文件格式:RAR
更新时间:2020-12-06 09:52:02
机器学习 必看论文
机器学习系类必学的经典论文,学习机器学习首先得了解的相关资讯。
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机器学习经典论文1
----Probabilistic()
--------An Introduction to MCMC for Machine Learning.pdf(480KB)
--------Approximate Policy Iteration_ A Survey and Some New Methods.pdf(1.63MB)
----Multi-armed Bandit()
--------Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems.pdf(808KB)
----Learning Theory()
--------Introduction to Statistical Learning Theory.pdf(287KB)
----Probabilistic Models()
--------An Introduction to Conditional Random Fields.pdf(675KB)
----Randomized Algorithms()
--------Randomized Algorithms for Matrices and Data.pdf(2.52MB)
----Networks()
--------Graph Mining_ Laws, Generators, and Algorithms.pdf(874KB)
--------A Survey of Statistical Network Models.pdf(1.73MB)
--------Community Detection in Graphs.pdf(5.62MB)
--------Link Mining_ A New Data Mining Challenge.pdf(52KB)
--------Graph Clustering.pdf(1.95MB)
--------Communities in Networks.pdf(543KB)
--------Comparing Community Structure Identification.pdf(213KB)
--------Link Mining_ A Survey.pdf(123KB)
--------Detecting Community Structure in Networks.pdf(242KB)
----Machine Learning()
--------Decision Forests for Classification, Regression, Density Estimation, Manifold Learning and Semi-Supervised Learning.pdf(32.73MB)
--------A Survey of Interestingness Measures for Knowledge Discovery.pdf(273KB)
--------A Tutorial on Bayesian Nonparametric Models.pdf(651KB)
--------The Boosting Approach to Machine Learning_ An Overview.pdf(188KB)
--------A Survey on Wavelet Applications in Data Mining.pdf(275KB)
--------Survey on Frequent Pattern Mining.pdf(281KB)
--------A Tutorial on the Cross-Entropy Method.pdf(3.19MB)
--------Top 10 Algorithms in Data Mining.pdf(783KB)
--------Semi-Supervised Learning Literature Survey.pdf(527KB)
--------Interestingness Measures for Data Mining_ A Survey.pdf(245KB)
--------A Few Useful Things to Know about Machine Learning.pdf(140KB)
----On-Line Learning()
--------On-Line Algorithms in Machine Learning.pdf(239KB)
----Game Theory()
--------Computer Poker_ A Review.pdf(1.12MB)
----Planning and Scheduling()
--------A Review of Machine Learning for Automated Planning.pdf(369KB)
----Mathematics()
--------Topology and Data.pdf(1.74MB)
----Natural Language Processing()
--------Web Mining Research_ A Survey.pdf(234KB)
--------Machine Transliteration Survey.pdf(580KB)
--------Survey of Text Clustering.pdf(282KB)
--------Translation Techniques in Cross-Language Information Retrieval.pdf(640KB)
--------Comprehensive Review of Opinion Summarization.pdf(914KB)
--------Probabilistic Topic Models.pdf(1008KB)
--------Opinion Mining and Sentiment Analysis.pdf(1.1MB)
--------Machine Learning in Automated Text Categorization.pdf(497KB)
--------Statistical Machine Translation.pdf(1.01MB)
--------Information Extraction.pdf(997KB)
--------Ontology Learning From Text_ A Look Back And Into The Future.pdf(3.69MB)
--------Word Sense Desambiguation_ A Survey.pdf(822KB)
--------Topic Models.pdf(441KB)
--------A Survey on Sentiment Detection of Reviews.pdf(300KB)
--------Adaptive Information Extraction.pdf(459KB)
--------A Survey of Named Entity Recognition and Classification.pdf(131KB)
----Others()
--------A Survey of Very Large-Scale Neighborhood Search Techniques.pdf(244KB)
----kernel methods()
--------Kernels for Vector-Valued Functions_ a Review.pdf(581KB)
----Graphical Models()
--------An Introduction to Variational Methods for Graphical Models.pdf(547KB)
----Natural Computing()
--------Data Mining in Soft Computing Framework_ A Survey.pdf(164KB)
--------Neural Networks for Classification_ A Survey.pdf(147KB)
--------Reservoir Computing Approaches to Recurrent Neural Network Training.pdf(574KB)
--------Artificial Immune Systems.pdf(305KB)
--------A Survey of Evolutionary Algorithms for Data Mining and Knowledge Discovery.pdf(272KB)
----Recommender Systems()
--------Matrix Factorization Techniques for Recommender Systems.pdf(1.48MB)
--------Recent advances in Personalized Recommender Systems.pdf(705KB)
--------A Survey of Collaborative Filtering Techniques.pdf(1.43MB)