Index Catalog // ScholarsArchive@OSU

Start Over

Filtering by: Creator Nyerges, Timothy L. Contributor Fu, Xiao

Graph Imitation Learning for Optimal Joint Beamforming and Antenna Selection

Creator:

Shrestha, Sagar

Abstract:

Transmit beamforming is an important technique employed to improve efficiency and signal quality in wireless communication systems by steering signals towards their in- tended users. It often arises jointly with the antenna selection problem due to various reasons, such as limited number of radio frequency (RF) chains and energy/resource effi-...

Resource Type:

Masters Thesis

Full Text:

,M,L) = (8, 4, 4). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39 LIST OF TABLES
Toward Disentangling the Activations of the Deep Networks via Low-dimensional Embedding and Non-negative Factorization

Creator:

Khorram, Saeed

Abstract:

In this thesis, we introduce a novel Explanation Neural Network (XNN) to explain the predictions made by a deep network. The XNN works by embedding a high-dimensional activation vector of a deep network layer non-linearly into a low-dimensional explanation space while retaining faithfulness i.e., the original deep learning predictions can...

Resource Type:

Masters Thesis

Full Text:

the augmented Lagrangian, L(x, z,y) = f(x) + g(z) + yT (Ax+Bz − c) + ρ 2 ‖Ax+Bz − c‖22 (2.4) where y