An Efficient Iterative Algorithm to Explainable Feature Learning
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Y. Bengio, A. Courville, and P. Vincent. Representation Learning: A Review and New Perspectives. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(8):1798–1828, aug 2013.
Mehrdad J. Gangeh, Ahmed K. Farahat, Ali Ghodsi, and Mohamed S. Kamel. Supervised dictionary learning and sparse representation-a review. ArXiv, abs/1502.05928, 2015.
Huan Liu and Hiroshi Motoda. Feature Ex-
traction, Construction and Selection: A Data
Mining Perspective. Kluwer Academic Publishers, Norwell, MA, USA, 1998.
Yunqian Ma and Yun Fu. Manifold Learning Theory and Applications. CRC Press, Inc., USA, 1st edition, 2011.
Michael A. Nielsen. Neural Networks and Deep Learning, page 216. Determination Press, 2018.
W. Tang, A. Panahi, H. Krim, and L. Dai. Analysis dictionary learning based classification: Structure for robustness. IEEE Transactions on Image Processing, 28(12):6035–6046, Dec 2019.
Dino Vlahek. Učinkovit iterativni algoritem učenja razložljivih značilnic za izboljšano klasifikacijo. Ph.D . disertation, UM FERI, 2024.
DOI: https://doi.org/10.31449/inf.v48i2.6105
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