3 papers
cs.LG2022
Local and Global Structure Preservation Based Spectral Clustering
Kajal Eybpoosh, Mansoor Rezghi, Abbas Heydari
Spectral Clustering (SC) is widely used for clustering data on a nonlinear manifold. SC aims to cluster data by considering the preservation of the local neighborhood structure on…
cs.LG2020
An adaptive synchronization approach for weights of deep reinforcement learning
S. Amirreza Badran, Mansoor Rezghi
Deep Q-Networks (DQN) is one of the most well-known methods of deep reinforcement learning, which uses deep learning to approximate the action-value function. Solving numerous Deep…
cs.LG2018
A novel extension of Generalized Low-Rank Approximation of Matrices based on multiple-pairs of transformations
Soheil Ahmadi, Mansoor Rezghi
Dimensionality reduction is a main step in the learning process which plays an essential role in many applications. The most popular methods in this field like SVD, PCA, and LDA, o…