Searching for "Generating Relevant Models." – sorted by Relevance.
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Probabilistic Relevance Models Based on Document and Query Generation
- Probabilistic Relevance Models Based on Document and Query Generation John Laerty ChengXiang Zhai
- Cited by 42 (10 self) – Add To MetaCart
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When less is more: Relevance feedback falls short and term expansion succeeds at HARD 2005
- feedback retrieval used 10 feedback documents to generate the relevance model, 25 terms from the relevance
- Cited by 1 (0 self) – Add To MetaCart
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TABLE OF CONTENTS
- produce the same rankings [39]. 2.1.3 Generative Relevance Models In [24], Lavrenko presents
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Database selection and result merging in P2P web search
- in the pseudo-relevant documents is generated from two sources: the pseudo-relevance model of a user P R, since
- Cited by 3 (1 self) – Add To MetaCart
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Database Selection and Result Merging in P2P
- in the pseudo-relevant documents is generated from two sources: the pseudo-relevance model of a user P R, since
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A User-Item Relevance Model for Log-Based Collaborative Filtering
- , since they have actually been derived from the same generative relevance model (Eq. 3). The only
- Cited by 2 (1 self) – Add To MetaCart
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Computer Science Toward Target Verification Through 3-D Model-Based Sensor Fusion
- hardware to achieve real-time generation of relevant model features [ Ste95 ] . Two sets of model features
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Visualization of multi-sensor model-based object recognition
- to achieve real-time generation of relevant model features [33]. The feature prediction is fully integrated
- Cited by 3 (2 self) – Add To MetaCart
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Computer Science Visualizing Multisensor Model-Based Object Recognition
- to model feature generation have centered around an off-line model analysis in which visible features
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Obtaining 3D Silhouettes And Sampled Surfaces From Solid Models For Use In Computer Vision
- module which generates relevant model features for a requested viewpoint, and provides that information
- Cited by 6 (4 self) – Add To MetaCart

