Results 91 to 100 of about 482,653 (299)
Heterogeneous feature space based task selection machine for unsupervised transfer learning [PDF]
© 2015 IEEE. Transfer learning techniques try to transfer knowledge from previous tasks to a new target task with either fewer training data or less training than traditional machine learning techniques.
Zhang, G +7 more
core +1 more source
Hyperosmotic stress induces PARP1‐mediated HPF1‐dependent mono(ADP‐ribosyl)ation
Sorbitol‐induced hyperosmotic stress rapidly induces reversible mono(ADP‐ribosyl)ation (MARylation) on PARP1 without the signs of genotoxic signaling. We show that PARP1 autoMARylation is HPF1 dependent and forms hydroxylamine‐resistant O‐glycosidic linkages.
Anna Georgina Kopasz +11 more
wiley +1 more source
Asia-Pacific tech monitor. Vol. 28, No. 3, May - Jun 2011
In a knowledge-based society, technology transfer is considered by nations as critical for stimulating sustained industrial development and inclusive economic growth while enhancing the competitiveness of their enterprises in the international ...
UN.ESCAP +1 more
core
Source images and predicted target images differ in image features. When heterogeneous transfer learning is applied some difficulties and further issues appear. For example, noise in image recognition appears and is required to be reduced.
Wen-Fei Tian +3 more
doaj +1 more source
Sparse Autoencoder Features for Classifications and Transferability
Sparse Autoencoders (SAEs) provide potentials for uncovering structured, human-interpretable representations in Large Language Models (LLMs), making them a crucial tool for transparent and controllable AI systems. We systematically analyze SAE for interpretable feature extraction from LLMs in safety-critical classification tasks.
Jack Gallifant +5 more
openaire +2 more sources
Mitochondrial remodeling shapes neural and glial lineage progression by matching metabolic supply with demand. Elevated OXPHOS supports differentiation and myelin formation, while myelin compaction lowers mitochondrial dependence, revealing mitochondria as key drivers of developmental energy adaptation.
Sahitya Ranjan Biswas +3 more
wiley +1 more source
F-structure transfer-based statistical machine translation [PDF]
In this paper, we describe a statistical deep syntactic transfer decoder that is trained fully automatically on parsed bilingual corpora. Deep syntactic transfer rules are induced automatically from the f-structures of a LFG parsed bitext corpus by ...
Bryl, Anton +2 more
core
Development and Testing of a 2-D Transfer CCD
This paper describes the development, operation, and characterization of charge-coupled devices (CCDs) that feature an electrode structure that allows the transfer of charge both horizontally and vertically through the image area. Such devices have been
A. Martin +17 more
core +1 more source
An isoform of 14‐3‐3 protein regulates transbilayer lipid movement at the plasma membrane
Loss of 14‐3‐3ζ in CHO cells confers resistance to exogenous phosphatidylserine (PS) and impairs endocytosis‐independent inward flip‐flop of fluorescent PS at the plasma membrane. RNAi‐mediated knockdown reproduces this defect, while no additive effect is seen in ATP11C‐deficient cells.
Akiko Yamaji‐Hasegawa +3 more
wiley +1 more source
According to the Feature-Assembly Hypothesis (FAH) (Lardiere 2005, 2009, Choi and Lardiere 2006a) convergence in second language acquisition is determined by whether L2 speakers can effectively reassemble existing features into new (L2) configurations ...
Dominguez, Laura +5 more
core

