ML Wiki

Sources Index

Only papers I read and used as sources (or small books that don't deserve a separate wiki page)

• ordered by first author
• ABCDEFGHIJKLMNOPQRSTUVWXYZ

A

• Aggarwal, Charu C., and ChengXiang Zhai. "A survey of text clustering algorithms." Mining Text Data. 2012. Document Clustering, K-Means, K-Medoids, Co-Clustering, Two-Phase Document Clustering, Non-Negative Matrix Factorization, Semi-Supervised Clustering, Topic Models, Probabilistic LSA, Term Strength, Term Contribution, Stop Words

C

• Cristianini, Nello, John Shawe-Taylor, and Huma Lodhi. "Latent semantic kernels." 2002. [1] Kernel Methods Latent Semantic Kernels
• Cutting, et al. "Scatter/gather: A cluster-based approach to browsing large document collections." 1992. [2] Scatter/Gather

D

• Datar, Mayur, et al. "Locality-sensitive hashing scheme based on p-stable distributions." 2004. [3] Locality Sensitive Hashing, Euclidean LSH
• De Kok D., Brouwer H. "Natural language processing for the working programmer", 2011. Collocation Extraction
• De Smet, Yves. "An introduction to multicriteria decision aid: The PROMETHEE and GAIA methods." PROMETHEE
• Deerwester, Scott C., et al. "Indexing by latent semantic analysis." 1990. [4] Latent Semantic Analysis
• Domingos, Pedro. "A few useful things to know about machine learning." 2012. [5] Overfitting

E

• Elsayed, Tamer, Jimmy Lin, and Douglas W. Oard. "Pairwise document similarity in large collections with MapReduce." 2008. [6] Inverted Index
• Ertöz, Levent et al. "Finding clusters of different sizes, shapes, and densities in noisy, high dimensional data." 2003. [7] Document Clustering, DBSCAN, SNN Clustering, Euclidean Distance, Curse of Dimensionality, Chameleon Clustering, CURE Clustering, ROCK Clustering

G

• Gionis, Aristides, Piotr Indyk, and Rajeev Motwani. "Similarity search in high dimensions via hashing." 1999. [8] Locality Sensitive Hashing, Bit Sampling LSH

H

• Hopcroft, John, and Ravindran Kannan. "Foundations of Data Science1." 2014. Power Iteration

J

• Jauregui, Jeff. "Principal component analysis with linear algebra." 2012. [9] SVD, Principal Component Analysis
• Jing, Liping. "Survey of text clustering." 2008. [10] Vector Space Model, Document Clustering, Cluster Analysis, Subspace Clustering, Semi-Supervised Clustering

K

• Kalman, Dan. "A singularly valuable decomposition: the SVD of a matrix." 1996. [11] SVD
• Koll, Matthew B. "WEIRD: An approach to concept-based information retrieval." 1979. Latent Semantic Analysis
• Korenius, Tuomo, Jorma Laurikkala, and Martti Juhola. "On principal component analysis, cosine and Euclidean measures in information retrieval." 2007. [12] Principal Component Analysis, Latent Semantic Analysis, Distance Functions, Cosine Similarity, Euclidean Distance
• Kristianto, et al. "Extracting definitions of mathematical expressions in scientific papers." 2012. [13] Mathematical Definition Extraction, Math-Aware POS Tagging
• Kristianto, et al. "Extracting Textual Descriptions of Mathematical Expressions in Scientific Papers." 2014. [14] Mathematical Definition Extraction

L

• Landauer, T. et al. "An introduction to latent semantic analysis." 1998. [15] Latent Semantic Analysis
• Larsen, Bjornar et al. "Fast and effective text mining using linear-time document clustering." 1999. [16] Document Clustering
• Lee, K., Lee, Y. et al "Parallel data processing with MapReduce: a survey" 2012. [17] Hadoop, MapReduce, Hadoop MapReduce
• Lee K., Jalali A., Dasdan A. "Real time bid optimization with smooth budget delivery in online advertising", 2013. [18] Budget Pacing
• Li, Yong H., et al. "Classification of text documents." 1998. [19] Term Clustering
• Liu, Tao, et al. "An evaluation on feature selection for text clustering." 2003. [20] Term Contribution

M

Manning C., Schütze H. "Foundations of statistical natural language processing", 1999. Collocation Extraction

O

• Oikonomakou, N, Vazirgiannis, M. "A review of web document clustering approaches." Data mining and knowledge discovery handbook. 2010. [21] Cluster Analysis Agglomerative Clustering K-Means
• Osinski, S. "Improving quality of search results clustering with approximate matrix factorisations." 2006. [22] Non-Negative Matrix Factorization
• Ordonez, C, et al, "Relational versus non-relational database systems for data warehousing." 2010. [23] Hadoop, Hadoop MapReduce

P

• Pagael R, Schubotz M. "Mathematical Language Processing Project." 2014. [24] Mathematical Definition Extraction Math-Aware POS Tagging
• Paulevé, L. et al. "Locality sensitive hashing: A comparison of hash function types and querying mechanisms." 2010. [25] Locality Sensitive Hashing, K-Means LSH
• Petrović S. et al. "Comparison of collocation extraction measures for document indexing", 2006. [26]

S

• Salton, et al. "A vector space model for automatic indexing." 1975. [27] Vector Space Model
• Salton, Buckley. "Term-weighting approaches in automatic text retrieval." 1988. [28] TF-IDF
• Schelter, Sebastian, et al. "Efficient Sample Generation for Scalable Meta Learning." [29]. 2014. Meta Learning
• Schöneberg et al. "POS Tagging and its Applications for Mathematics." 2014. Math-Aware POS Tagging
• Sculley, David. "Web-scale k-means clustering." 2010. [30] K-Means
• Sebastiani, Fabrizio. "Machine learning in automated text categorization." 2002. [31] Document Classification, Term Clustering
• Slaney, Malcolm, and Michael Casey. "Locality-sensitive hashing for finding nearest neighbors [lecture notes]." 2008. [32] Locality Sensitive Hashing, Euclidean LSH
• Steinbach, Michael, et al. "A comparison of document clustering techniques." 2000. Document Clustering, K-Means
• Strang, Gilbert. "The fundamental theorem of linear algebra." 1993. [33] SVD

W

• Wilbur, W. John, "The automatic identification of stop words." 1992. [34] Stop Words, Term Strength

X

• Xu, Wei, Xin Liu, and Yihong Gong. "Document clustering based on non-negative matrix factorization." 2003. [35] Cluster Analysis, Non-Negative Matrix Factorization

Z

• Zhai, ChengXiang. "Statistical language models for information retrieval." (Book) 2008. Information Retrieval, Statistical Language Models, Multinomial Distribution, Smoothing for Language Models, TF-IDF, Probabilistic Retrieval Model
• Zhukov, Leonid, and David Gleich. "Topic identification in soft clustering using PCA and ICA". 2004. [36] Latent Semantic Analysis