Výsledky vyhledávání - "Difference Convex Programming"

Joint Resource Allocation for Full-Duplex Ambient Backscatter Communication: A Difference Convex Algorithm Autor Madavani, Fatemeh Kaveh, Soleimanpour-Moghadam, Mohadeseh, Talebi, Siamak, Chatzinotas, Symeon, Ottersten, Bjorn

“…Nowadays, Ambient Backscatter Communication (AmBC) systems have emerged as a green communication technology to enable massive self-sustainable wireless…”
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On constrained and regularized high-dimensional regression Autor Shen, Xiaotong, Pan, Wei, Zhu, Yunzhang, Zhou, Hui

“…High-dimensional feature selection has become increasingly crucial for seeking parsimonious models in estimation. For selection consistency, we derive one…”
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Approximate Bilevel Difference Convex Programming for Bayesian Risk Markov Decision Processes Autor Lin, Yifan, Zhou, Enlu

“…), to address parameter (or epistemic) uncertainty in MDPs. To solve the infinite-horizon BR-MDP with a class of convex risk measures, we propose a computationally efficient approach called approximate bilevel difference convex programming (ABDCP…”
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On optimization of cooperative MIMO for underlaid secrecy Industrial Internet of Things Autor Wang, Xinyao, Bao, Xuyan, Huang, Yuzhen, Zheng, Zhong, Fei, Zesong

“…In this paper, physical layer security techniques are investigated for cooperative multi-input multi-output (C-MIMO), which operates as an underlaid cognitive…”
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High-dimensional sign-constrained feature selection and grouping Autor Qin, Shanshan, Ding, Hao, Wu, Yuehua, Liu, Feng

“…In this paper, we propose a non-negative feature selection/feature grouping (nnFSG) method for general sign-constrained high-dimensional regression problems…”
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On Efficient Large Margin Semisupervised Learning: Method and Theory Autor Wang, Junhui, Shen, Xiaotong, Pan, Wei

“…In classification, semisupervised learning usually involves a large amount of unlabeled data with only a small number of labeled data. This imposes a great…”
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Grouping Pursuit Through a Regularization Solution Surface Autor Shen, Xiaotong, Huang, Hsin-Cheng

“…Extracting grouping structure or identifying homogenous subgroups of predictors in regression is crucial for high-dimensional data analysis. A low-dimensional…”
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Likelihood Ratio Tests for a Large Directed Acyclic Graph Autor Li, Chunlin, Shen, Xiaotong, Pan, Wei

“…Inference of directional pairwise relations between interacting units in a directed acyclic graph (DAG), such as a regulatory gene network, is common in…”
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Network-Based Penalized Regression With Application to Genomic Data Autor Kim, Sunkyung, Pan, Wei, Shen, Xiaotong

“…Penalized regression approaches are attractive in dealing with high-dimensional data such as arising in high-throughput genomic studies. New methods have been…”
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Shared-Resource Generative Adversarial Network (GAN) Training for 5G URLLC Deep Reinforcement Learning Augmentation Autor Mehdipourchari, Kaveh, Askarizadeh, Mohammad, Nguyen, Kim Khoa

“…Deep Reinforcement Learning (DRL) solutions to 5G problems often face with communication unreliability issues due to imbalanced state-space distributions and…”
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Structural Pursuit Over Multiple Undirected Graphs Autor Zhu, Yunzhang, Shen, Xiaotong, Pan, Wei

“…Gaussian graphical models are useful to analyze and visualize conditional dependence relationships between interacting units. Motivated from network analysis…”
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Optimization Framework for User Clustering, Beamforming Design and Power Allocation in MIMO-UFMC Systems Autor Asgharnia, Maryam, Hosseini, S. Abolfazl, Shahzadi, Ali, Ghazi-Maghrebi, Saeed, Kandovan, Ramin Shaghaghi

“…Universal Filtered Multi-Carrier (UFMC) is a new multi-carrier system regarded as a candidate for future wireless communication systems. This paper…”
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Data-Driven Stochastic Optimization in the Presence of Distributional Uncertainty Autor Lin, Yifan

“…Stochastic optimization is a mathematical framework that models decision making under uncertainty. It usually assumes that the decision maker has full…”
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Coherent Pursuit and Boosting Learning Autor Yan, Qi

“…In multi-response regression, pursuit of two different types of structures is essential to battle the curse of dimensionality. In this thesis, we seek a…”
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衬底式安全工业物联网中的协作MIMO优化研究 Autor 王新尧, 鲍叙言, 黄育侦, 郑重, 费泽松

“…TN92; 本文研究协作多输入多输出(cooperative multi-input multi-output,C-MIMO)系统中的物理层安全技术,该技术可以被用于主次用户共存的衬底式认知无线电网络,并通过提高…”
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Grouping penalties and its applications to high-dimensional models Autor Zhu, Yunzhang

“…Part I: In high-dimensional regression, grouping pursuit and feature selection have their own merits while complementing each other in battling the curse of…”
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New Penalized Regression Approaches to Analysis of Genetic and Genomic Data Autor Kim, Sunkyung

“…Statistical analysis of high dimensional genetic data is challenging. Penalized regression represents a class of attractive approaches for its simultaneous and…”
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Some topics in ROC curves analysis Autor Huang, Xin

“…The receiver operating characteristic (ROC) curves is a popular tool for evaluating continuous diagnostic tests. The traditional definition of ROC curves…”
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Network selection, Information filtering and Scalable computation Autor Ye, Changqing

“…This dissertation explores two application scenarios of sparsity pursuit method on large scale data sets. The first scenario is classification and regression…”
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Computational development for psi-learning Autor Liu, Sijin

“… To deliver attainable higher generalization accuracy, we propose three computational strategies via a global optimization technique---difference convex programming, which relies on a decomposition…”
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