过去一年中添加的文章,按日期排序

Determining optimal channel partition for 2: 4 fine grained structured sparsity

M Mahajan, WM Hwu, R Nagi - Optimization Letters, 2024 - Springer
238 天前 - … determine the optimal permutations and compare their performance for small-…
higher accuracy. To maximize the sum of preserved weights, columns of the matrix are permuted

A quatum inspired neural network for geometric modeling

W Du, S Liu, H Guo - arXiv preprint arXiv:2401.01801, 2024 - arxiv.org
246 天前 - permutation and rotation) challenges. In response, we introduce an innovative
equivariant Matrix … We empirically validate the performance of our method SpaTea on benchmark …

TOSCCA: a framework for interpretation and testing of sparse canonical correlations

N Senar, M van de Wiel, AH Zwinderman… - Bioinformatics …, 2024 - academic.oup.com
248 天前 - … We examined the performance of our approach with … Moreover, we compared its
performance to Penalized Matrix Analysis (… 2.3 Permutation testing To assess the estimated …

Hitsndiffs: From truth discovery to ability discovery by recovering matrices with the consecutive ones property

Z Chen, S Mitra, R Ravi… - 2024 IEEE 40th …, 2024 - ieeexplore.ieee.org
259 天前 - matrix satisfies C1P and is called a P-matrix if in each column, all the 1’s are
consecutive. If the rows of a matrix can be permuted so it becomes a P-matrix… , the performance of …

Characterize and Optimize Dense Linear Solver on Multi-core CPUs

X Fu, X Su, D Dong, W Yang - 2023 IEEE 29th International …, 2023 - ieeexplore.ieee.org
263 天前 - … factorized triangular matrices and the permutation matrix. Note that a left permutation
to … ten different tile sizes that could deliver high performance. Our test results show that the …

Solving FDR-Controlled Sparse Regression Problems with Five Million Variables on a Laptop

F Scheidt, J Machkour, M Muma - 2023 IEEE 9th International …, 2023 - ieeexplore.ieee.org
270 天前 - matrices that reside on solid-state drive and two new dummy generation strategies
based on permutations of a reference matrix. … without access to high-performance clusters to …

[PDF][PDF] Utilizing Statistical and Machine Learning Techniques to Improve Tools Identifying Genetic Basis Underlying Complex Traits

J Bian - 2023 - prism.ucalgary.ca
275 天前 - … I will also introduce the procedures of standard permutations (called “Naıve permutation
in … In this case, performing the permutation test is the best procedure [85, 86]. It is a non-…

Tensor Decomposition Based THz Channel Estimation in OTFS for Integrated Sensing and Communications

X Li, B Chang, Z Chen - GLOBECOM 2023-2023 IEEE Global …, 2023 - ieeexplore.ieee.org
276 天前 - matrices satisfying ΛaΛbΛc = I. In addition, Π is an unknown permutation matrix. …
the simulation results to show the performance of the proposed CP decomposition-based …

Hyperparameter optimization: a comparative machine learning model analysis for enhanced heart disease prediction accuracy

Y Rimal, N Sharma - Multimedia Tools and Applications, 2024 - Springer
280 天前 - … The permutation and combination of high and low learning rates with various step
sizes … , and confusion matrix of each optimized model with their model's actual performance

CSENMT: A deep image compressed sensing encryption network via multi-color space and texture feature

X Chai, S Song, Z Gan, G Long, Y Tian, X He - Expert Systems with …, 2024 - Elsevier
291 天前 - … images in visual performance, efficiency and security. … based on sparse matrix,
adaptive permutation based on … row-column permutation to the 3D permutation to improve …