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3
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Automatic Indexing in Operation: The Rule-Based System AIR/X for Large Subject Fields
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51
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A probabilistic framework for vague queries and imprecise information in databases
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87
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Probabilistic Models in Information Retrieval
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84
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A Probabilistic Learning Approach for Document Indexing
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11
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Combining Model-Oriented and Description-Oriented Approaches for Probabilistic Indexing
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23
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Probabilistic Information Retrieval as Combination of Abstraction, Inductive Learning and Probabilistic Assumptions
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48
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Automatic Indexing Based on Bayesian Inference Networks
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"Is This Document Relevant? ...Probably": A Survey of Probabilistic Models in Information Retrieval
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16
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Machine Learning in Automated Text Categorisation
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Machine Learning in Automated Text Categorization
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2
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Representations, Models and Abstractions in Probabilistic Information Retrieval
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7
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Optimum Probability Estimation from Empirical Distributions
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78
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Models for retrieval with probabilistic indexing
– Norbert Fuhr
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39
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A Theory of Term Weighting Based on Exploratory Data Analysis
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206
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A Probabilistic Model of Information Retrieval: Development and Status
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An Adaptive Local Dependency Language Model: Relaxing the Na ve Bayes' Assumption
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The use of phrases and structured queries in information retrieval
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Naive (Bayes) at Forty: The Independence Assumption in Information Retrieval
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Probabilistic Models for Information Retrieval based on Divergence from Randomness
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