Results 1 to 10 of about 5,859,578 (148)
Reasoning with Finite Sets and Cardinality Constraints in SMT [PDF]
We consider the problem of deciding the satisfiability of quantifier-free formulas in the theory of finite sets with cardinality constraints. Sets are a common high-level data structure used in programming; thus, such a theory is useful for modeling ...
Kshitij Bansal +3 more
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Subgraph Matching Cardinality Estimation Combining Heuristic and Boosting Method [PDF]
Attributed to its innate advantage in modeling relational information, graph data have been widely leveraged in various applications including social network, knowledge representation, etc. Compared with traditional relational database systems, primitive
HOU Wenzhe, ZHAO Xiang
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SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data [PDF]
Generative modeling of set-structured data, such as point clouds, requires reasoning over local and global structures at various scales. However, adopting multi-scale frameworks for ordinary sequential data to a set-structured data is nontrivial as it ...
Jinwoo Kim +3 more
semanticscholar +1 more source
In multi-sensor systems (MSSs), sensor selection is a critical technique for obtaining high-quality sensing data. However, when the number of sensors to be selected is unknown in advance, sensor selection is essentially non-deterministic polynomial-hard (
Shuang Liang +3 more
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Hyperspectral Anomaly Detection with Auto-Encoder and Independent Target
As an unsupervised data representation neural network, auto-encoder (AE) has shown great potential in denoising, dimensionality reduction, and data reconstruction.
Shuhan Chen, Xiaorun Li, Yunfeng Yan
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Quantifying uncertainty is a hot topic for uncertain information processing in the framework of evidence theory, but there is limited research on belief entropy in the open world assumption.
Bin Yang +3 more
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On Multistage Multiscale Stochastic Capacitated Multiple Allocation Hub Network Expansion Planning
The hub location problem (HLP) basically consists of selecting nodes from a network to act as hubs to be used for flow traffic directioning, i.e., flow collection from some origin nodes, probably transfer it to other hubs, and distributing it to ...
Laureano F. Escudero, Juan F. Monge
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Multi-Period Portfolio Optimization Using Dynamic Programming Approach [PDF]
Portfolio selection has always been one of the important issues in the field of investment management, which discusses how to allocate an investor's capital to different assets and form an efficient portfolio.
Negin Mohebbi, Amir Abbas Najafi
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Advances and Challenges in Machine Learning-Based Cardinality Estimation for Database Query Optimization [PDF]
Accurate cardinality estimation is critical for optimizing database queries, yet traditional methods often fail to provide reliable predictions in the face of complex queries, skewed data distributions, and high-dimensional schemas.
Guan Zhibin
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Subsystem identification of feedback and feedforward systems with time delay
We present an algorithm for identifying discrete-time feedback-and-feedforward subsystems with time delay that are interconnected in closed loop with a known subsystem.
S. Alireza Seyyed Mousavi +3 more
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