Results 51 to 60 of about 14,028 (258)
An Approach by Representation of Algebras for Decoherence-Free Subspaces [PDF]
Advances in Applied Clifford Algebras, 2015 11 ...
Trindade, Marco A. S. +2 more
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Advanced Science, EarlyView.TarPass provides a rigorous benchmark for target‐aware de novo molecular generation by jointly evaluating protein‐ligand interactions, molecular plausibility, and drug‐likeness on 18 well‐studied targets. Results show that current models often fail to consistently surpass random baseline in target‐specific enrichment, while post hoc multi‐tier virtual ...
Rui Qin +11 more
wiley +1 more source
Non-negative sparse Laplacian regularized latent multi-view subspace clustering
Journal of Algorithms & Computational Technology, 2021 Recently, in the area of artificial intelligence and machine learning, subspace clustering of multi-view data is a research hotspot. The goal is to divide data samples from different sources into different groups.
Cong-Zhe You, Zhen-Qiu Shu, Hong-Hui Fan
doaj +1 more source
Rational Subspaces of Induced Representations and Nilmanifolds [PDF]
Transactions of the American Mathematical Society, 1978 Recently, Auslander and Brezin developed a technique of distinguishing between certain unitarily equivalent irreducible subspaces of L 2
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Evaluation of Word Vector Representations by Subspace Alignment [PDF]
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015 Unsupervisedly learned word vectors have proven to provide exceptionally effective features in many NLP tasks. Most common intrinsic evaluations of vector quality measure correlation with similarity judgments. However, these often correlate poorly with how well the learned representations perform as features in downstream evaluation tasks.
Yulia Tsvetkov +4 more
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Advanced Science, EarlyView.A self‐supervised multi‐view graph fusion framework integrates spatial multi‐omics, excelling in domain identification and denoising. It reconstructs spatial pseudo‐expression, jointly analyzes multi‐omics data, infers RNA velocity, predicts spatial omics features from single‐cell multi‐omics, and detects spatially dark genes and transcription factors,
Yuejing Lu +8 more
wiley +1 more source
Explicit representations for Banach subspaces of Lizorkin distributions
Analysis and Applications, 2023 The Lizorkin space is well suited to the study of operators like fractional Laplacians and the Radon transform. In this paper, we show that the space is unfortunately not complemented in the Schwartz space. In return, we show that it is dense in [Formula: see text], a property that is shared by the larger Schwartz space and that turns out to be useful
Neumayer, Sebastian, Unser, Michael
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Advanced Science, EarlyView.This study proposed a unified sequence‐based framework for protein binding site prediction, which adopted a tri‐track semantic multi‐source feature fusion strategy to effectively capture diverse macromolecular interaction sites and further improved the accuracy of antibody‐antigen interaction prediction.
Dongliang Hou +8 more
wiley +1 more source
Quality-Driven Kernel Projection to Latent Structure Model for Nonlinear Process Monitoring
IEEE Access, 2019 A novel quality-driven kernel projection to latent structure (QKPLS) modeling scheme is proposed for concurrent quality-related and process-fault detection for nonlinear processes.
Qingchao Jiang, Xuefeng Yan
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Weighted Low-Rank Tensor Representation for Multi-View Subspace Clustering
Frontiers in Physics, 2021 Multi-view clustering has been deeply explored since the compatible and complementary information among views can be well captured. Recently, the low-rank tensor representation-based methods have effectively improved the clustering performance by ...
Shuqin Wang +2 more
doaj +1 more source