Abstract: In this paper, the paradigm of the traditional iterative decoding schemes for the uplink large-scale MIMO detection is extended by sampling in an Markov chain Monte Carlo (MCMC) way.
JavaScript is disabled in your web browser or browser is too old to support JavaScript. Today almost all web pages contain JavaScript, a scripting programming language that runs on visitor's web ...
ORLANDO, Fla. (WGEM) - Ever wonder why your social media feed seems to “read your mind?” One minute, you’re watching a video about travel, and suddenly, your feed is filled with flight deals and hotel ...
Abstract: This paper proposes a randomized algorithm for feasibility of uncertain LMIs. The algorithm is based on the solution of a sequence of semidefinite optimization problems involving a reduced ...
Automated quantitative analysis of AKT/mTOR pathway in patients treated with nanoparticle albumin-bound paclitaxel (ABI-007, Abraxane) and (sirolimus)Rapamycin No significant financial relationships ...
What are Machine learning algorithms in Python? Which guide should I choose?"- This guide explains explicitly the operation of Machine Learning methods and how to implement them in Python. Whether you ...
Sequencing of Androgen-Deprivation Therapy of Short Duration With Radiotherapy for Nonmetastatic Prostate Cancer (SANDSTORM): A Pooled Analysis of 12 Randomized Trials In this multicenter, open-label, ...
Download PDF Join the Discussion View in the ACM Digital Library The maximum flow problem and its generalization, the minimum-cost flow problem, are classic combinatorial graph problems that find ...
Some Python implementations of randomized, matrix-free algorithms for estimating $\text{tr}(A)$, $\text{tr}(A^{-1})$, $\log \det(A)$, $\text{diag}(A)$, $\text{diag}(A ...
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