The second layer generates the distribution of phenotypic readouts at that location (for example, the distribution of gene expression values). Together, the first layer representing a CCS and the second layer representing a map from each location in the CCS to estimates of phenotypic readouts ...
Future algorithms do not only need to be more accurate to further decrease manual tracing time but also computationally more efficient to be able to process large datasets in the first place. Consider the computational time required by the current state of the art, flood-filling network (FFN):...
Subgenus Kraniopsis consists of ~30 species and was repre- sented by three species, each representing one of the three subclades indentified by the ITS-matK species phylogeny that included all of the species (Xiang et al., 2006). Species within each of the subclades are morphologically ...
In data mining, various methods of clustering algorithms are used to group data objects based on their similarities or dissimilarities. These algorithms can be broadly classified into several types, each with its own characteristics and underlying principles. Let’s explore some of the commonly used ...
then used these features to train a model using simple correlational learning algorithms (see next subsection) applied over a number of iterations, which enabled the network to settle into a stable state that represented a learned concept. A critical result of this modeling approach was that ...
[41]. In this regard since several truncation errors are involved in the iterative method the study goes accompanied by an accurate analysis of the convergence which allows one to ensure the well behavior of such algorithms in practical instances. The performance of these methods is illustrated ...
interpretability is essential for guarding against embedded bias or debugging an algorithm. It also helps researchers measure the effects of trade-offs in a model. More broadly, as algorithms play an increasingly important role in society, understanding precisely how they come up with their answers ...
algorithms that belong to the bagging family of decision tree-based methods. Random Forest, which was introduced by Breiman [10]. Random Forest builds upon the Bagging principle with an added improvement. In a Random Forest, each tree is constructed using a random subset of features and samples...
Monitoring the proteins and lipids that mediate all cellular processes requires imaging methods with increased spatial and temporal resolution. STED (stimulated emission depletion) nanoscopy enables fast imaging of nanoscale structures in living cells bu
with \(A\) representing the anchor image, \(P\) representing the positive image, \(N\) representing the negative image, \(f\) representing a function generating an image embedding and \(a\) representing an additional margin for increased contrast between the distance of A and P and the ...