Results 121 to 130 of about 25,655 (286)
Convex Feature Learning for Multiple Targets via Output Structure Information
IEEE AccessMulti-target regression has gained popularity owing to its ability to predict multiple outcomes simultaneously, with improved performance over single-target methods.
S. Puhazholi, F. Sagayaraj Francis
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Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES
Advanced Science, EarlyView.In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu +5 more
wiley +1 more source
Advanced Science, EarlyView.By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin +12 more
wiley +1 more source
BICLUSTERING METHODS FOR RE-ORDERING DATA MATRICES IN SYSTEMS BIOLOGY, DRUG DISCOVERY AND TOXICOLOGY
Croatian Operational Research Review, 2010 Biclustering has emerged as an important problem in the analysis of gene expression data since genes may only jointly respond over a subset of conditions.
Christodoulos A. Floudas
doaj
Direct Methods for Sparse Matrices
, 1980 The mathematical models of many practical problems lead to systems of linear algebraic equations where the coefficient matrix is large and sparse. Typical examples are the solutions of partial differential equations by finite difference or finite ...
Østerby, Ole, Zlatev, Zahari
core
Advanced Science, EarlyView.An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li +8 more
wiley +1 more source
Parallel Direct Methods for Block-Diagonal-Bordered Sparse Matrices
, 1994 This paper presents research into parallel direct methods for block-diagonal-bordered sparse matrices --- LU factorization and Choleski factorization algorithms developed with special consideration for irregular sparse matrices from the electrical power ...
D. P. Koester, G. C. Fox, S. Ranka
core
Advanced Science, EarlyView.Short‐range order in 2D transition metal dichalcogenides is revealed as a new design paradigm. Driven by chemical affinity and atomic size, it governs properties across scales. Weak ordering tunes site‐resolved magnetism and d‐band centers, while strong ordering eliminates gap states to open band gaps.
Hanyu Liu +3 more
wiley +1 more source
ON METHODS FOR ORDERING SPARSE MATRICES IN CIRCUIT SIMULATION
, 2008 Recently proposed methods for ordering sparse symmetric matrices are discussed and their performance is compared with that of the Minimum Degree and the Minimum Local Fill algorithms.
Gunther Reißig
core
Advanced Science, EarlyView.This study identifies a FOSL2‐driven positive feedback loop that amplifies FSH/FSHR signaling. During FSH‐dependent follicle maturation, FSH induces Fosl2 expression via the cAMP‐PKA‐CREB cascade. FOSL2 in turn binds the promoters of Fshr and estrogen‐biosynthesis genes to enhance their transcription, thereby increasing Fshr mRNA level and amplifying ...
Hongru Shi +13 more
wiley +1 more source