爱花花儿愤怒
发表于 2025-3-25 04:57:33
On GPU-Based Nearest Neighbor Queries for Large-Scale Photometric Catalogs in Astronomy,text. Our experiments indicate that carefully tuned implementations of spatial search structures for such multi-core devices can significantly reduce the practical runtime. This renders the resulting frameworks an important algorithmic tool for current and upcoming data analyses in astronomy.
Abbreviate
发表于 2025-3-25 10:00:44
Variable Neighborhood Search for Continuous Monitoring Problem with Inter-Depot Routes,timum. Furthermore, the proposed algorithm outperforms existing methods for the Continuous Monitoring Problem (CMP) in both solution quality (in 3 times) and computational time (more than 400 times faster).
主动
发表于 2025-3-25 15:17:05
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extinct
发表于 2025-3-25 18:45:11
Comparison of Sensor-Feedback Prediction Methods for Robust Behavior Execution,d sensor output. Two function fitting approaches (analytic model and generic function approximation) and a vector quantization method are compared with each other. The evaluation of the triggering mechanism in real scenarios will show that the execution of emergency actions in unexpected situations
Veneer
发表于 2025-3-25 22:55:47
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责怪
发表于 2025-3-26 03:10:52
https://doi.org/10.1007/978-3-642-40942-4clustering; human motion; machine learning; modeling; semantics
Inflated
发表于 2025-3-26 07:19:12
978-3-642-40941-7Springer-Verlag Berlin Heidelberg 2013
代理人
发表于 2025-3-26 09:38:53
KI 2013: Advances in Artificial Intelligence978-3-642-40942-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
矛盾
发表于 2025-3-26 13:18:57
Advances in Accessing Big Data with Expressive Ontologies,cations. Recently, advances for the expressive DL . have been made in the dissertation of S. Wandelt for concept-based instance retrieval on Big Data descriptions stored in secondary memory. In this paper we extend this approach by investigating optimization algorithms for answering grounded conjunctive queries.
四目在模仿
发表于 2025-3-26 20:50:28
Changes of Relational Probabilistic Belief States and Their Computation under Optimum Entropy Semanstic belief states by use of the relative entropy in a propositional setting to relational languages. As a second contribution of this paper, we present a method to compute such belief changes by considering a dual problem and present first application and experimental results.