Results 61 to 70 of about 691,007 (262)
Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
Bayesian Network Model Averaging Classifiers by Subbagging
Entropy, 2022 When applied to classification problems, Bayesian networks are often used to infer a class variable when given feature variables. Earlier reports have described that the classification accuracy of Bayesian network structures achieved by maximizing the ...
Shouta Sugahara, Itsuki Aomi, Maomi Ueno
doaj +1 more source
Reconstructing enzyme evolution by protein engineering
FEBS Letters, EarlyView.Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler +2 more
wiley +1 more source
Distributional learning of recursive structures
, 2021 Languages differ regarding the depth, structure, and syntactic domains of recursive structures. Even within a single language, some structures allow infinite self-embedding while others are more restricted. For example, English allows infinite free embedding of the prenominal genitive -s, whereas the postnominal genitive of is largely restricted to ...
Daoxin Li, Kathryn Schuler
openaire +3 more sources
Structured prediction with reinforcement learning [PDF]
Machine Learning, 2009 We formalize the problem of Structured Prediction as a Reinforcement Learning task. We first define a Structured Prediction Markov Decision Process (SP-MDP), an instantiation of Markov Decision Processes for Structured Prediction and show that learning an optimal policy for this SP-MDP is equivalent to minimizing the empirical loss.
Maes, Francis +2 more
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Journal of Agricultural Sciences, 2020 The variables affecting the milk productivity have been discussed in various articles through different methods. A recent study using path analysis shows that three variables significantly affect the 305-day milk yield of Holstein Friesian cows ...
Volkan Sevinç +3 more
doaj +1 more source
Identification of the plant mitochondrial OrfX protein: A mass spectrometry approach
FEBS Letters, EarlyView.The mitochondrial genome of plants contains an open reading frame, orfx, which encodes a rare protein that has so far escaped mass spectrometric detection. The protein resembles the c‐subunit of bacterial twin‐arginine‐motif‐dependent protein translocases (TatC).
Matthias Döring +3 more
wiley +1 more source
Smoothness and Structure Learning by Proxy [PDF]
Proceedings of the ... International Conference on Machine Learning. International Conference on Machine Learning, 2012 As data sets grow in size, the ability of learning methods to find structure in them is increasingly hampered by the time needed to search the large spaces of possibilities and generate a score for each that takes all of the observed data into account.
Benjamin Yackley, Terran Lane
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Causally Informative Entropic Inequalities within Families of Distributions with Shared Marginals
EntropyThe joint probability distribution of observable variables from a system is constrained by the underlying causal structure. In the presence of hidden variables, untestable independencies that involve hidden variables lead to testable causally-imposed ...
Daniel Chicharro
doaj +1 more source
A New Algorithm for Learning Large Bayesian Network Structure From Discrete Data
IEEE Access, 2019 Learning the structure of Bayesian networks (BNs) from high dimensional discrete data is common nowadays but a challenging task, due to the large parameter space, the acyclicity constraint placed on the graphical structures and the difficulty in ...
Weiping Zhang +3 more
doaj +1 more source