Abstract: This paper studies products of independent but non-identically distributed random network matrices that arise as weight matrices in distributed consensus-type computation and inference ...
The recent emergence of DeepSeek’s remarkably cost-efficient large language models has sent shockwaves through the AI industry, not just for what it achieved, but for how efficiently it achieved it.
Do you know what'll always save you from awkward silences at a work function? Or make you the shining star at any dinner party? A funny, interesting, and slightly niche fun fact. As it turns out, ...
In order to improve the control capability of distributed photovoltaic support, a distributed photovoltaic support consumption method based on energy storage configuration mode and random events is ...
NCO LEADERSHIP CENTER OF EXCELLENCE, FT. BLISS, Texas - The Army is eliminating the requirement for all enlisted Soldiers to complete the Distributed Leader Course (DLC I-VI) no later than Oct. 1, ...
Distributed Maritime Operations (DMO) is the operating concept of the Department of the Navy (or DON, which includes the Navy and Marine Corps) for using U.S. naval (i.e., Navy and Marine Corps) ...
In the real world, probability is a tough thing to characterize. If I roll a die, what does it mean to say that it has a one-sixth chance of coming up 5? We say that the outcome is random because we ...
Abstract: This paper derives the distribution of the maximum end-to-end (e2e) signal to noise ratio (SNR) in an opportunistic relay selection based cooperative relaying network having a large number ...
ABSTRACT: The presence of heteroskedasticity in a considered regression model may bias the standard deviations of parameters obtained by the Ordinary Least Square (OLS) method. In this case, several ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback