Results 61 to 70 of about 726,041 (339)
C-HiLasso: A Collaborative Hierarchical Sparse Modeling Framework
, 2010 Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is performed by solving an L1-regularized linear regression problem, commonly referred to as Lasso or Basis Pursuit.
Eldar, Yonina +3 more
core +4 more sources
Journal of Combinatorial Theory, Series BSubmitted ...
Grobler, Mario +4 more
openaire +2 more sources
Regularizers for structured sparsity [PDF]
Advances in Computational Mathematics, 2011 We study the problem of learning a sparse linear regression vector under additional conditions on the structure of its sparsity pattern. This problem is relevant in machine learning, statistics and signal processing. It is well known that a linear regression can benefit from knowledge that the underlying regression vector is sparse.
Micchelli, Charles A. +2 more
openaire +3 more sources
Molecular Oncology, EarlyView.This study indicates that Merkel cell carcinoma (MCC) does not originate from Merkel cells, and identifies gene, protein & cellular expression of immune‐linked and neuroendocrine markers in primary and metastatic Merkel cell carcinoma (MCC) tumor samples, linked to Merkel cell polyomavirus (MCPyV) status, with enrichment of B‐cell and other immune cell
Richie Jeremian +10 more
wiley +1 more source
Feature Mining and Sensitivity Analysis with Adaptive Sparse Attention for Bearing Fault Diagnosis
Applied Sciences, 2023 Bearing fault diagnosis for equipment-safe operation has a crucial role. In recent years, more achievements have been made in bearing fault diagnosis. However, for the fault diagnosis model, the representation and sensitivity of bearing fault features ...
Qinglei Jiang +5 more
doaj +1 more source
Sparsity-certifying Graph Decompositions [PDF]
Graphs and Combinatorics, 2009 We describe a new algorithm, the $(k,\ell)$-pebble game with colors, and use it obtain a characterization of the family of $(k,\ell)$-sparse graphs and algorithmic solutions to a family of problems concerning tree decompositions of graphs. Special instances of sparse graphs appear in rigidity theory and have received increased attention in recent years.
Streinu, Ileana, Theran, Louis
openaire +4 more sources
Inhibition of CDK9 enhances AML cell death induced by combined venetoclax and azacitidine
Molecular Oncology, EarlyView.The CDK9 inhibitor AZD4573 downregulates c‐MYC and MCL‐1 to induce death of cytarabine (AraC)‐resistant AML cells. This enhances VEN + AZA‐induced cell death significantly more than any combination of two of the three drugs in AraC‐resistant AML cells.
Shuangshuang Wu +18 more
wiley +1 more source
When It Counts—Econometric Identification of the Basic Factor Model Based on GLT Structures
Econometrics, 2023 Despite the popularity of factor models with simple loading matrices, little attention has been given to formally address the identifiability of these models beyond standard rotation-based identification such as the positive lower triangular (PLT ...
Sylvia Frühwirth-Schnatter +2 more
doaj +1 more source
Molecular Oncology, EarlyView.Adaptaquin selectively kills glioma stem cells while sparing differentiated brain cells. Transcriptomic and proteomic analyses show Adaptaquin disrupts iron and cholesterol homeostasis, with iron chelation amplifying cytotoxicity via cholesterol depletion, mitochondrial dysfunction, and elevated reactive oxygen species.
Adrien M. Vaquié +16 more
wiley +1 more source
Molecular Oncology, EarlyView.A mouse model for vascular normalization and a human breast cancer cohort were studied to understand the relationship between vascular leakage and tumor immune suppression. For this, endothelial and immune cell RNAseq, staining for vascular function, and immune cell profiling were employed.
Liqun He +8 more
wiley +1 more source