probabilistic latent semantic analysis
Automatic Essay Grading with Probabilistic Latent Semantic Analysis
... 2.3 Probabilistic Latent Semantic Analysis Probabilistic Latent Semantic Analysis (PLSA) (Hofmann, 2001) is based on a statistical model which has been called the ...
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Topic-based Multi-Document Summarization with Probabilistic Latent Semantic Analysis
... on probabilistic latent semantic analysis, which allows us to represent sentences and queries as probability distributions over la- tent ...the latent topic space to estimate the ...
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Image Classification Based on Effective Probabilistic Latent Semantic Analysis Model
... Abstract - This article proposes a new method for classification of rock images using Tamura features and an effective topic generation model called probabilistic latent semantic analysis ...
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Probabilistic latent semantic analysis as a potential method for integrating spatial data concepts
... user’s analysis (Comber et ...called Probabilistic Latent Semantic Analysis (PLSA) (Hofmann 1999a,b) to extract or infer the data concepts contained in written descriptions of ...
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Including Item Characteristics in the Probabilistic Latent Semantic Analysis Model for Collaborative Filtering
... strong probabilistic foundation that uses this idea is the probabilistic latent semantic analysis model for collaborative filtering (pLSA-CF) [Hofmann ...
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Monocular 3D Human Motion Tracking Using Dynamic Probabilistic Latent Semantic Analysis
... We have proposed a novel method for learning models from sequential dyadic data called the Dynamic Probabilistic Latent Semantic Analysis (DPLSA). DPLSA extends the successful PLSA formalism ...
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Probabilistic Latent Semantic Analysis. To appear in: Uncertainity in Articial Intelligence, UAI'99, Stockholm. Thomas Hofmann
... Abstract Probabilistic Latent Semantic Analysis is a novel statistical technique for the analysis of two{mode and co-occurrence data, which has applications in information retrieval and ...
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Improving Probabilistic Latent Semantic Analysis with Principal Component Analysis
... increases to a locally optimal value with each it- eration of EM, the final likelihoods obtained from different initializations after training do not corre- late well with the accuracy of the corresponding models. This ...
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phishGILLNET—phishing detection methodology using probabilistic latent semantic analysis, AdaBoost, and co-training
... 12 Conclusions A multi-layered methodology, called phishGILLNET, is proposed and evaluated for phishing detection. All three layers of phishGILLNET employ PLSA to discover phish- ing and non-phishing topics. ...
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Probabilistic Latent Semantic User Segmentation for Behavioral Targeted Advertising*
... all semantic approaches have the good performances on CTR ...further analysis, Single-PLSUS totally exceeds CLUTO and ...the semantic approach is appropriate to be adopted in ...
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Efficient Probabilistic Latent Semantic Indexing using Graphics Processing Unit
... the latent classes. According to this analysis, we separate the computations and combine some steps of the EM algorithm for efficiency on both time and memory ...
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A unified approach to non-negative matrix factorization and probabilistic latent semantic indexing
... This dataset was described by [16] and represents a unique example in document analysis. Here, we are interested in classifying all the blocks of the page layout of a document that have been detected by a ...
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Fisher Kernels and Probabilistic Latent Semantic Models
... regarding semantic association between queries and documents is that the retrieval performances of classical IR systems are hindered by an overall difficulty to account for ...of latent semantics has ...
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Latent Ambiguity in Latent Semantic Analysis?
... Abstract: Latent Semantic Analyis (LSA) consists in the use of SVD-based dimensionality-reduction to reduce the high dimensionality of vector representations of documents, where the dimensions of the ...
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Generic Text Summarization Using Probabilistic Latent Semantic Indexing
... Nara 630-0192, Japan [email protected] Abstract This paper presents a strategy to generate ge- neric summary of documents using Probabilistic Latent Semantic Indexing. Generally a docu- ment contains ...
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A Probabilistic Approach to Latent Cluster Analysis
... Facing a large number of clustering solutions, cluster ensemble method provides an effective approach to aggregating them into a better one. In this paper, we propose a novel cluster ensemble method from ...
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Polarity Inducing Latent Semantic Analysis
... In this paper, we fuse these two strands of re- search in an attempt to develop a vector space rep- resentation in which the synonymy and antonymy are naturally differentiated. We follow Schwab et al. (2002) in requiring ...
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Multi Relational Latent Semantic Analysis
... MRLSA using two different corpora, Encarta and WordNet. The performance of the MRLSA raw tensor is close to that of looking up the thesaurus. This indicates the tensor representation is able to capture the word relations ...
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AN SQL EXTENSION FOR LATENT SEMANTIC ANALYSIS
... * Corresponding Author: [email protected] Received: April 14, 2011; Accepted: May 12, 2011 Abstract- Latent Semantic Analysis (LSA) is a powerful statistical theory and method for indexing, retrieving ...
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