Results 41 to 50 of about 1,981,405 (253)
Experiential History as a Tuning Parameter for Attention
[Peer commentary on “Visual selection: usually fast and automatic; seldom slow and volitional,” by J. Theeuwes]. 'Journal of Cognition'. In his current opinion piece, Theeuwes emphasizes the role of selection history as a third source of attentional ...
J. H. Kryklywy, R. M. Todd
doaj +1 more source
Modeling and Non-Linear Self-Tuning Robust Trajectory Control of an Autonomous Underwater Vehicle [PDF]
A non-linear self-tuning algorithm is demonstrated for an autonomous underwater vehicle. Tighter control is achieved by a non-linear parameter identification algorithm which reduces the parameter uncertainty bounds.
Thor Inge Fossen, Jens G. Balchen
doaj +1 more source
Mutant p53R273H disrupts PDPK1 homodimerization and contributes to PDPK1 activation
How mutant p53R273H drives AKT signaling is unclear. We show that p53R273H, but not wild‐type, directly binds PDPK1 via a mutation‐dependent conformational change. This interaction disrupts inhibitory PDPK1 homodimerization and enhances AKT phosphorylation.
Mei Chee Lim +11 more
wiley +1 more source
Parameter-Efficient Fine-Tuning Design Spaces
Parameter-efficient fine-tuning aims to achieve performance comparable to fine-tuning, using fewer trainable parameters. Several strategies (e.g., Adapters, prefix tuning, BitFit, and LoRA) have been proposed.
Li, Mu +5 more
core
Directed evolution of enzymes at the crossroads of tradition and innovation
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source
Novel fuzzy logic controllers with self-tuning capability [PDF]
Two controllers which extend the PD+I fuzzy logic controller to deal with the plant having time varying nonlinear dynamics are proposed. The adaptation ability of the first self tuning PD+I fuzzy logic controller (STPD+I_31) is achieved by adjusting the ...
Lotfi, A, Teng, FC, Tsoi, AC
core
MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis
MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss +7 more
wiley +1 more source
Explore the Principles of Prompt Tuning and the Progress of Research [PDF]
Prompt Tuning is a lightweight fine-tuning method that demonstrates efficient task adaptation and parameter efficiency for pre-trained language models (PLMs). Prompt Tuning highlights an important contribution to the advancement of NLP technology.
Zheng Tongxin
doaj +1 more source
Frequency domain iterative feedforward/feedback tuning for MIMO ANVC
A new gradient estimation method is proposed that relies on efficient computation of the negative gradient of the average linear quadratic cost function completely in the frequency domain.
Veres, Sandor M. +3 more
core +1 more source
Parameter tuning plot for the proposed method.
Parameter tuning plot for the proposed method.
Hafiz Ahmed (206509) +3 more
core +1 more source

