MLSP-P69.6
LEARNING TO CASCADE: A POMDP APPROACH TO SEQUENTIAL MODEL SELECTION
Ali Salehi Darjani, Daphney-Stavroula Zois, University at Albany, SUNY, Albany, NY, USA, United States of America
Session:
MLSP-P69: Conventional Machine Learning Methods and Applications Poster
Track:
Machine Learning for Signal Processing [ML]
Location:
Poster Area 41
Presentation Time:
Thu, 7 May, 16:30 - 18:30
Presentation
Discussion
Resources
No resources available.
Session MLSP-P69
MLSP-P69.1: ASYMPTOTICALLY OPTIMAL BANDIT ONLINE CLUSTERING FOR SINGLE PARAMETER EXPONENTIAL FAMILY OF DISTRIBUTIONS
Dhinesh Chandran G, Indian Institute of Technology Madras, India; Srinivas Reddy Kota, Indian Institute of Technology Kharagpur, India; Srikrishna Bhashyam, Indian Institute of Technology Madras, India
MLSP-P69.2: Delay Embedding For Differential Graph Learning From Dependent Data
Jitendra Tugnait, Auburn University, United States of America
MLSP-P69.3: SPATIAL RELATIONSHIP-ENHANCED SELF-SUPERVISED TRAJECTORY LEARNING FOR TRIP RECOMMENDATION
Tenghao Zhang, Guangqi Liu, Peipei Wang, Xiaohui Han, Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences), China
MLSP-P69.4: CL: PROTOTYPE-CONSTRAINED CONSISTENT LEARNING — TOWARD CONTROLLABLE AND CONSISTENT TRANSFER
Yitian Long, Fudan University, China; Zhongze Wu, Central South University, China; Feng Yang, Southeast University, China; Shan You, SenseTime Research, China; Hongyan Xu, Xiu Su, Central South University, China
MLSP-P69.5: Federated Clustering without k: Adaptive Prototype Aggregation on Heterogeneous Data
guanxiong He, Zheng Wang, Runxin Zhang, Bo Yan, Rong Wang, Feiping Nie, Northwestern Polytechnical University, Xian 710072, P.R. China, China
MLSP-P69.6: LEARNING TO CASCADE: A POMDP APPROACH TO SEQUENTIAL MODEL SELECTION
Ali Salehi Darjani, Daphney-Stavroula Zois, University at Albany, SUNY, Albany, NY, USA, United States of America
MLSP-P69.7: WICON: A LIGHTWEIGHT CONTINUAL LEARNING APPROACH FOR WIFI-BASED HUMAN ACTIVITY RECOGNITION VIA MASK-ADAPTIVE CLASSIFIER EXPANSION
Yimiao Deng, Tao Deng, Rong Li, Soochow University, China; Yi Zhao, Uppsala University, Sweden; Juncheng Jia, Soochow University, China; Sangsha Fang, Wenzhou Business College, China; Di Yuan, Uppsala University, Sweden
MLSP-P69.8: Risk level dependent Minimax Quantile lower bounds for Interactive Statistical Decision Making
Raghav Bongole, Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund, KTH Royal Institute of Technology, Sweden
MLSP-P69.9: DEEP FUZZY CLUSTERING WITH ANCHOR GRAPH PRESERVATION AND MEMBERSHIP ALIGNMENT
Jie Zhou, School of Artificial Intelligence, Shenzhen University, Shenzhen 518060,School of Mathematics and Statistics, Changsha University of Science and Technology, Changsha 410114, China, China; Yuxi Chen, School of Artificial Intelligence, Shenzhen University, Shenzhen 518060, China, China; Guangming Lang, School of Mathematics and Statistics, Changsha University of Science and Technology, Changsha 410114, China, China; Can Gao, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China, China; Yue Guo, College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China, China
MLSP-P69.10: ADAPTIVELY WEIGHTED MULTI-MODAL JOINT ENTROPY WITH DYNAMIC ALLOCATION AND FAULT-TOLERANT FUSION FOR INDUSTRIAL DIAGNOSTICS
Yan Niu, Yiling Wang, Jingyan Li, Wenxi Wang, Mengni Zhou, Jie Xiang, Xin Wen, Yidi Li, Taiyuan University of Technology, China
MLSP-P69.11: CLUSTERING OF MULTISOURCE REMOTE SENSING DATA VIA LOW-RANK TENSOR LEARNING WITH SPATIAL CONSTRAINTS
Zhe Cao, Ting Wang, Zihua Zhao, Haonan Xin, Bo Yan, Runxin Zhang, Rong Wang, Northwestern Polytechnical University, China
MLSP-P69.12: GRASP: GRoup-shApley feature Selection for Patients
Yuheng Luo, Chinese Academy of Medical Sciences and Peking Union Medical College, China; Shuyan Li, Queen's University Belfast, United Kingdom of Great Britain and Northern Ireland; Zhong Cao, Heidelberg University, Germany
MLSP-P69.13: l0-ESP: EFFICIENT STRUCTURED PRUNING FOR CONVOLUTIONAL NEURAL NETWORK COMPRESSION BASED ON l0-NORM OPTIMIZATION
Ping-Ze Zheng, Shenzhen University, China; Zhang-Lei Shi, China University of Petroleum (East China), China; Xiao-Peng Li, Shenzhen University, China
MLSP-P69.14: SCALABLE BAYESIAN FINE-TUNING OF LLMS FOR MULTI-OBJECTIVE BAYESIAN OPTIMIZATION
Haotian Xiang, Heng Zhang, Qin Lu, University of Georgia, United States of America
MLSP-P69.15: Data-Adaptive Proximal Operator: Demonstration on Low-Rank Sparse Subspace Clustering
Ivica Kopriva, Rudjer Boskovich Institute, Croatia
MLSP-P69.16: ACTIVE JAMMER LOCALIZATION VIA ACQUISITION-AWARE PATH PLANNING
Luis Gonzalez-Gudiño, University of Massachusetts Boston, United States of America; Mariona Jaramillo-Civill, Pau Closas, Northeastern University, United States of America; Tales Imbiriba, University of Massachusetts Boston, United States of America
Contacts