Unsupervised learning by probabilistic latent semantic analysis
From MaRDI portal
Publication:5928974
DOI10.1023/A:1007617005950zbMath0970.68130OpenAlexW2134731454MaRDI QIDQ5928974
Publication date: 17 April 2001
Published in: Machine Learning (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1023/a:1007617005950
Learning and adaptive systems in artificial intelligence (68T05) Information storage and retrieval of data (68P20) Natural language processing (68T50)
Related Items (54)
Approximating a diffusion by a finite-state hidden Markov model ⋮ Fusing attributed and topological global-relations for network embedding ⋮ Semantic Image Segmentation: Two Decades of Research ⋮ Nonparametric Bayesian negative binomial factor analysis ⋮ Representations for multi-document event clustering ⋮ Improving similarity measures for publications with special focus on author name disambiguation ⋮ A Columnwise Update Algorithm for Sparse Stochastic Matrix Factorization ⋮ Deterministic annealing process for pLSA-induced fuzzy co-clustering and cluster splitting characteristics ⋮ EXPLOITING SYNTACTIC, SEMANTIC, AND LEXICAL REGULARITIES IN LANGUAGE MODELING VIA DIRECTED MARKOV RANDOM FIELDS ⋮ Improving the multimodal probabilistic semantic model by ELM classifiers ⋮ A sequential topic model for mining recurrent activities from long term video logs ⋮ A Monte Carlo evaluation of three methods to detect local dependence in binary data latent class models ⋮ Double instrumental variable estimation of interaction models with big data ⋮ Semantic modeling of natural scenes based on contextual Bayesian networks ⋮ Long distance bigram models applied to word clustering ⋮ Variational learning of a Dirichlet process of generalized Dirichlet distributions for simultaneous clustering and feature selection ⋮ Category level object segmentation by combining bag-of-words models with Dirichlet processes and random fields ⋮ Geometric latent Dirichlet allocation on a matching graph for large-scale image datasets ⋮ Learning behavioural context ⋮ From senses to texts: an all-in-one graph-based approach for measuring semantic similarity ⋮ L 2 Normalized Data Clustering Through the Dirichlet Process Mixture Model of von Mises Distributions with Localized Feature Selection ⋮ Linear classifiers are nearly optimal when hidden variables have diverse effects ⋮ Embedded topics in the stochastic block model ⋮ The search for topics related to electric mobility: a comparative analysis of some of the most widely used methods in the literature ⋮ Bayesian hybrid generative discriminative learning based on finite Liouville mixture models ⋮ On the properties of von Neumann kernels for link analysis ⋮ Clustering documents with labeled and unlabeled documents using fuzzy semi-Kmeans ⋮ Aspect and Entity Extraction for Opinion Mining ⋮ Efficient histogram dictionary learning for text/image modeling and classification ⋮ Graph-induced restricted Boltzmann machines for document modeling ⋮ Two-way Poisson mixture models for simultaneous document classification and word clustering ⋮ Complexity control in a mixture model by the Hardy-Weinberg equilibrium ⋮ Infinite Dirichlet mixture models learning via expectation propagation ⋮ A semantic medical multimedia retrieval approach using ontology information hiding ⋮ Parameter Estimation in Image Processing and Computer Vision ⋮ The aspect Bernoulli model: multiple causes of presences and absences ⋮ EFFICIENT UNSUPERVISED MINING FROM NOISY CO-OCCURRENCE DATA ⋮ Statistical significance of the Netflix challenge ⋮ Combining global, regional and contextual features for automatic image annotation ⋮ PTEM: a popularity-based topical expertise model for community question answering ⋮ Block clustering with collapsed latent block models ⋮ Weakly supervised clustering: learning fine-grained signals from coarse labels ⋮ A PROBABILISTIC SELF-ORGANIZING MAP FOR BINARY DATA TOPOGRAPHIC CLUSTERING ⋮ Harmonium Models for Video Classification ⋮ Exploiting associations between word clusters and document classes for cross‐domain text categorization† ⋮ On the equivalence between non-negative matrix factorization and probabilistic latent semantic indexing ⋮ Scalable computational measures for entropic detection of latent relations and their applications to magnetic imaging ⋮ Unsupervised human activity analysis for intelligent mobile robots ⋮ Acceptable set topic modeling ⋮ Geometric analogue of holographic reduced representation ⋮ Coherent structure identification in turbulent channel flow using latent Dirichlet allocation ⋮ A mathematical theory of communication ⋮ A unified statistical approach to non-negative matrix factorization and probabilistic latent semantic indexing ⋮ OLAP on multidimensional text databases: Topic network cube and its applications
This page was built for publication: Unsupervised learning by probabilistic latent semantic analysis
