
TACT: A Transfer ActorCritic Learning Framework for Energy Saving in Cellular Radio Access Networks
Recent works have validated the possibility of improving energy efficien...
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Traffic Prediction Based on Random Connectivity in Deep Learning with Long ShortTerm Memory
Traffic prediction plays an important role in evaluating the performance...
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Translating biomarkers between multiway timeseries experiments
Translating potential disease biomarkers between multispecies 'omics' e...
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MultiWay, MultiView Learning
We extend multiway, multivariate ANOVAtype analysis to cases where one...
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Regular decomposition of large graphs and other structures: scalability and robustness towards missing data
A method for compression of large graphs and matrices to a block structu...
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Performance Optimization in MobileEdge Computing via Deep Reinforcement Learning
To improve the quality of computation experience for mobile devices, mob...
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Optimized Computation Offloading Performance in Virtual Edge Computing Systems via Deep Reinforcement Learning
To improve the quality of computation experience for mobile devices, mob...
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Deep Reinforcement Learning for Network Slicing
Network slicing means an emerging business to operators and allows them ...
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MultiTenant CrossSlice Resource Orchestration: A Deep Reinforcement Learning Approach
In a softwaredefined radio access network (RAN), a major challenge lies...
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Multipath Transmission Scheduling in Millimeter Wave Cloud Radio Access Networks
Millimeter wave (mmWave) communications provide great potential for next...
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Learning to Entangle Radio Resources in Vehicular Communications: An Oblivious GameTheoretic Perspective
This paper studies the problem of noncooperative radio resource schedul...
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Deep Learning with Long ShortTerm Memory for Time Series Prediction
Time series prediction can be generalized as a process that extracts use...
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Analysis of large sparse graphs using regular decomposition of graph distance matrices
Statistical analysis of large and sparse graphs is a challenging problem...
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Computational Graph Approach for Detection of Composite Human Activities
Existing work in human activity detection classifies physical activities...
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HARK Side of Deep Learning  From Grad Student Descent to Automated Machine Learning
Recent advancements in machine learning research, i.e., deep learning, i...
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GANbased Deep Distributional Reinforcement Learning for Resource Management in Network Slicing
Network slicing is a key technology in 5G communications system, which a...
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Wireless Edge Computing with Latency and Reliability Guarantees
Edge computing is an emerging concept based on distributing computing, s...
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Decentralized Deep Reinforcement Learning for DelayPower Tradeoff in Vehicular Communications
This paper targets at the problem of radio resource management for expec...
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Stacked Boosters Network Architecture for Short Term Load Forecasting in Buildings
This paper presents a novel deep learning architecture for short term lo...
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Topology Management, MultiPath Routing, and Link Scheduling for mmW WMN Backhaul
Mobile backhaul system based on a wireless mesh network using pointtop...
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Towards analyzing large graphs with quantum annealing and quantum gate computers
The use of quantum computing in graph community detection and regularity...
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Characterizing the Quality of Insight by Interactions: A Case Study
Understanding the quality of insight has become increasingly important w...
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