Results 41 to 50 of about 8,084,139 (305)
Backpropagation on Dynamical Networks
Dynamical networks are versatile models that can describe a variety of behaviours such as synchronisation and feedback. However, applying these models in real world contexts is difficult as prior information pertaining to the connectivity structure or local dynamics is often unknown and must be inferred from time series observations of network states ...
Eugene Tan +3 more
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Dynamic Planning Networks [PDF]
We introduce Dynamic Planning Networks (DPN), a novel architecture for deep reinforcement learning, that combines model-based and model-free aspects for online planning. Our architecture learns to dynamically construct plans using a learned state-transition model by selecting and traversing between simulated states and actions to maximize information ...
Norman L. Tasfi, Miriam A. M. Capretz
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With the continuous growth of task requirements and the increasing types of access services, new challenges are raised to the multi-service collaborative transmission capability and the global scheduling capability of network resources of satellite ...
Tao CUI +5 more
doaj
Relation Extraction of Protein Complexes from Dynamic Protein-Protein Interaction Network [PDF]
Background: Dynamic protein-protein interaction networks (DPPIN) can confirm the conditional and temporal features of proteins and protein complexes. In addition, the relation of protein complexes in dynamic networks can provide useful information in ...
Moslem Mohammadi Jenghara +2 more
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Dynamic network mechanisms of relational integration [PDF]
© 2015 Parkin et al. A prominent hypothesis states that specialized neural modules within the human lateral frontopolar cortices (LFPCs) support “relational integration” (RI), the solving of complex problems using inter-related rules.
Hampshire, A. +7 more
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Dynamic Meta-data Network Sparse PCA for Cancer Subtype Biomarker Screening
Previous research shows that each type of cancer can be divided into multiple subtypes, which is one of the key reasons that make cancer difficult to cure.
Rui Miao +10 more
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Network fluids are structured fluids consisting of chains and branches. They are characterized by unusual physical properties, such as, exotic bulk phase diagrams, interfacial roughening and wetting transitions, and equilibrium and nonequilibrium gels. Here, we provide an overview of a selection of their equilibrium and dynamical properties.
C.S. Dias +2 more
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The (T, L)-Path Model and Algorithms for Information Dissemination in Dynamic Networks
A dynamic network is the abstraction of distributed systems with frequent network topology changes. With such dynamic network models, fundamental distributed computing problems can be formally studied with rigorous correctness. Although quite a number of
Zhiwei Yang, Weigang Wu
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A Rotating Object Detector with Convolutional Dynamic Adaptive Matching
Standard convolution sliding along a fixed direction in common convolutional neural networks (CNNs) is inconsistent with the direction of aerial targets, making it difficult to effectively extract features with high-aspect-ratio and arbitrary directional
Leibo Yu +4 more
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Dynamic Mobile Network Slicing Through Vehicular Traffic Analysis
Network slicing has emerged as a transformative enabler in 5G networks, offering tailored communication services for diverse traffic types on shared network infrastructure.
Alvaro Gabilondo +5 more
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