Query performance prediction
Forward and Backward Feature Selection for Query Performance Prediction
... of query performance prediction (QPP) is to automatically estimate the effectiveness of a search result for any given query, without relevance ...the query running time is of utter ...of ...
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Forward and Backward Feature Selection for Query Performance Prediction
... of query performance prediction (QPP) is to automatically estimate the effectiveness of a search result for any given query, without relevance ...the query running time is of utter ...of ...
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A Machine Learning Approach to SPARQL Query Performance Prediction
... SPARQL query cost estimation ap- proaches are based on data statistics and ...for query cost estimation is ...SPARQL query cost estimation. We learn SPARQL query performance metrics ...
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Predicting SPARQL Query Performance and Explaining Linked Data
... database query performance [2, 13, 14] has argued that the analytical costs models used by the current generation query optimizers are good for comparing alternative query plans, but ...
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Predicting SPARQL Query Performance
... 1 Query Performance Prediction The emerging dataspace of Linked Data presents tremendous potential for large- scale data integration over cross domain data to support a new generation of intelligent ...
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Diversified query expansion
... original query is clearly ...the query, then short queries cannot clearly express the user information ...ambiguous query "apple" may be interested to several intents and some users may even ...
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FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction
... the performance of I-Prof and AdaSGD on commercial Android devices with popular ...our performance evaluation we do not focus on network and scalability aspects that are orthogonal to our work and addressed ...
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Schema Query Containment
... Melisachew Wudage Chekol ∗ Project-Teams ORPAILLEUR Research Report n° 8484 — February 2014 — 24 pages Abstract: SPARQL is a schema query language allowing access to the TBox part of a knowledge base. Moreover its ...
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ASR performance prediction on unseen broadcast programs using convolutional neurol networks
... better performance than CNN ReLU ...ASR performance prediction is a difficult task with all MAE above ...best performance both for MAE and ...best performance is obtained with CNN ...
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On the impact of domain expertise on query formulation, relevance assessment and retrieval performance in clinical settings
... complexity of the retrieval process ( Ingwersen & Belkin, 2004 ). One of the major factors identified is knowledge, which can be divided into search knowledge and domain knowledge. While search knowledge concerns the ...
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Improving performance prediction of corroding concrete bridges with field monitoring
... failure. Prediction models updated with monitoring data can help decision makers optimize inspection, maintenance, and reha- bilitation of bridges, thus extending their service life and reducing their life-cycle ...
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Automatic Prediction Of Small Group Performance In Information Sharing Tasks
... INFORMATION SHARING TASK We tested our Markov jump process framework on a dataset collected to examine the relationship between the communication patterns and the group performance during a cooperative task. This ...
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A first step to performance prediction for heterogeneous processing on manycores
... The parallelism ratio (referred to as P ratio in the remainder) of a task is meant in Amdahl’s sense [1]. It establishes in which proportion the execution time is reduced when increasing the number of workset partitions ...
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Biomechanical performance prediction of 3D-plotted scaffolds for tissue engineering
... NRC Publications Archive Archives des publications du CNRC Access and use of this website and the material on it are subject to the Terms and Conditions set forth at Biomechanical performance prediction of ...
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Performance Prediction and Tissue Ingrowth Evaluation of 3D Plotted Osteochondral Scaffolds
... / La version de cette publication peut être l’une des suivantes : la version prépublication de l’auteur, la version acceptée du manuscrit ou la version de l’éditeur. Access and use of t[r] ...
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Predicting SPARQL Query Execution Time and Suggesting SPARQL Queries Based on Query History
... SPARQL query execution time prior to query execution; (ii) how to suggest similar SPARQL queries based on query ...study query performance, we apply the same scientific approach that ...
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Toward Personalized Query Expansion
... INSA de Rennes, France ABSTRACT Social networking and tagging have taken off at an unex- pected scale and speed, opening huge opportunities to en- hance the user search experience. We present Gossple 1 , a new, ...
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Fuzzy Query By Example
... 6. CONCLUSION In this paper we presented FQBE, a Query by Example ap- proach to help users browse databases by simply evaluating examples. We proposed a method to select which examples to submit for user ...
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Performance prediction methodology and analysis of a variable pitch fan turbofan engine
... fan performance is discussed, standard methods to produce the data are either experimental or numerical ...The performance map of turbomachinery components such as fan can be represented in a frame of ...
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Biomechanical Performance Prediction of 3D Plotted Osteochondral Scaffolds for Tissue Engineering
... NRC Publications Archive Archives des publications du CNRC Access and use of this website and the material on it are subject to the Terms and Conditions set forth at Biomechanical Performance Prediction of ...
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