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NOTE: The Technical Committee's EDICS list is derived from the Society's Unified EDICS list. You can view the Society's complete Unified EDICS ist and EDICS list approval process on the Unified EDICS page.
1. Bolded text represents the EDICS major topic category
2. Blue shaded rows represent EDICS that can be selected as paper's topic.
3. Non-shaded rows represent sub-topic EDICSs for those above them.
|Machine Learning for Signal Processing|
|[MLR-APPL] Applications of machine learning|
|[MLR-COGP] Cognitive information processing|
|[MLR-DEEP] Deep learning techniques|
|[MLR-DICT] Dictionary learning|
|[MLR-GKM] Graphical and kernel methods|
|[MLR-MFC] Matrix factorizations/completion|
|[MLR-ICA] Independent component analysis|
|[MLR-INFO] Information-theoretic learning|
|[MLR-LEAR] Learning theory and algorithms|
|[MLR-LMM] Learning from multimodal data|
|[MLR-MLON] Machine learning over wireless networks|
|[MLR-MUSAP] Applications in music and audio processing|
|[MLR-PRCL] Pattern recognition and classification|
|[MLR-PERF] Bounds on performance|
|[MLR-SBML] Subspace and manifold learning|
|[MLR-SLER] Sequential learning; sequential decision methods|
|[MLR-SSEP] Source separation|
|[MLR-TNSR] Tensor-based signal processing|
|[SMDSP-SAP] Sparsity-aware processing|
|[OTH-BGDT] Big Data|
|[MLR-DFED] Distributed/Federated learning|
|[MLR-REI] Reinforcement learning|
|[MLR-TRL] Transfer learning|
|[MLR-SSUP] Self-supervised and semi-supervised learning|
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