CS/Concepts and Techniques
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SimRank
2013.05.19
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Discriminative vs. Generative model
2013.05.14
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Heuristic, 휴리스틱
2013.05.11
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Opinion Mining
2013.05.01
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Pearson correlation coefficient
2013.04.16
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Low-rank Approximation
2013.04.11
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FP Growth
2013.04.07
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Language Model
2013.04.05
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Collaborative Filtering, CF
2013.03.31
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Kalman Filtering
2013.03.28
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MinHash
2013.03.28
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Recommender Systems Handbook [2011]
2013.03.27
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Recommender Systems
2013.03.27
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Latent Semantic Indexing, LSI
2013.03.20
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AdaBoost
2013.03.15
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Hidden Markov Model, HMM
2013.03.15
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Independent Component Analysis, ICA
2013.03.15
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Principal Component Analysis, PCA
2013.03.15
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Apriori
2013.03.14
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Generating decision tree: ID3 algorithm
2013.03.02
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Locality Sensitive Hashing, LSH
2013.02.28
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Viterbi algorithm
2013.02.28
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Probabilistic Latent Semantic Indexing, PLSI
2013.02.28
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Latent Dirichlet Allocation, LDA
2013.02.28
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Support Vector Machine, SVM
2013.02.24
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Expectation Maximization, EM
2013.02.22
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Google Tech Talks: Statistical Aspects of Data Mining (Stats 202)
2013.02.22
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Regression Analysis
2013.02.21
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tf-idf
2013.02.19
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Information Retrieval Modeling
2013.02.18