Results 101 to 110 of about 1,819,138 (329)
Simple low cost causal discovery using mutual information and domain knowledge
, 2011 PhDThis thesis examines causal discovery within datasets, in particular observational datasets where normal experimental manipulation is not possible. A number of machine learning techniques are examined in relation to their use of knowledge and the ...
Joseph, Adrian
core
Causal Discovery in Probabilistic Networks with an Identifiable Causal Effect
Causal identification is at the core of the causal inference literature, where complete algorithms have been proposed to identify causal queries of interest.
Vowels, Matthew J. +5 more
core +1 more source
FEBS Letters, EarlyView.An unexpected alternative interaction site for ethyl viologen was identified in formate dehydrogenase 1 from Methylorubrum extorquens. Combined mutagenesis, kinetic analysis, and docking revealed that aromatic residues near an iron–sulfur cluster enable flavin mononucleotide‐independent electron transfer, offering a framework for engineering improved ...
Eleni G. Poloniataki, Yong Hwan Kim
wiley +1 more source
Discovering cyclic causal models in psychological research [PDF]
Statistical network models have become popular tools for analyzing multivariate psychological data. In empirical practice, network parameters are often interpreted as reflecting causal relationships – an approach that can be characterized as a form of ...
Waldorp, Lourens J +2 more
core
FEBS Letters, EarlyView.We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace +6 more
wiley +1 more source
Causal Discovery with Inverted Self-attention for Multivariate Time Series
Causal discovery in multivariate time series data is challenging due to complex interactions, high dimensionality, and nonlinear dependencies among variables.
Liu, Y +5 more
core +1 more source
Causal Reinforcement Learning Algorithm Based on Causal Mask [PDF]
Jisuanji gongchengReinforcement Learning (RL) has become an important solution to sequential continuous decision-making problems, such as root cause localization of fault alarms; however, existing methods suffer from low sample efficiency and high exploration costs that ...
HUANG Siyang, CAI Ruichu, QIAO Jie, HAO Zhifeng
doaj +1 more source
FEBS Letters, EarlyView.Proteostasis and the gut microbiota play a key role in shaping host physiology. Microbiota‐derived metabolites, vitamins, and RNA modulate host proteostasis. Findings from model systems, including C. elegans, indicate microbes can either stabilize or disrupt host proteostasis.
Abhishek Anil Dubey, Maria Ermolaeva
wiley +1 more source
Cause-effect discovery in hydrometeorological systems: evaluation of causal discovery methods [PDF]
Hydrology and Earth System SciencesIdentifying the driver(s) of a process or phenomenon is central to understanding and predicting its future state. In complex hydrometeorological systems, a process can have multiple drivers dynamically coupled to the system across timescales.
V. K. Yadav +6 more
doaj +1 more source
Causal discovery and logic. [PDF]
, 2013 Contains fulltext : 112897.pdf (Publisher’s version ) (Open Access)
openaire +1 more source