Schematic diagram of elements in the delivery area. by Yingbo Mao (22522192)

Decision rules for the prediction of the trial outcome from the CHAID algorithm showing winning and losing strategies. by José Félix Muñoz Soro (11592423)

Evaluation of algorithms. by Polina Bombina (18784215)

Subjects:

The run time for each algorithm in seconds. by Edward Antonian (21453161)

“…<div><p>In this paper, we study a class of non-parametric regression models for predicting graph signals as a function of explanatory variables . …”

Boundary conditions of the finite element model. by Ali Ataei (12261869)

SillyPutty algorithm. by Polina Bombina (18784215)

Subjects:

Model-Based Clustering of Categorical Data Based on the Hamming Distance by Raffaele Argiento (647076)

“…Conjugate Bayesian inference has been derived for the parameters of the Hamming distribution model. The mixture is framed in a Bayesian nonparametric setting, and a transdimensional blocked Gibbs sampler is developed to provide full Bayesian inference on the number of clusters, their structure, and the group-specific parameters, facilitating the computation with respect to customary reversible jump algorithms. …”

Multi-Objective Optimisation Algorithms for Finite Element Model Updating. by Evangelos Ntotsios (98103)

Algorithm 1: Random BBA generation—Uniform sampling from all focal elements. by Yi Yang (116183)

“…<p>Algorithm 1: Random BBA generation—Uniform sampling from all focal elements.…”

Identification of Predictive Cis-Regulatory Elements Using a Discriminative Objective Function and a Dynamic Search Space by Rahul Karnik (813371)

“…Here we present a novel computational algorithm called MotifSpec, designed to find predictive motifs, in contrast to over-represented sequence elements. …”

Relationship of the active elements in progressing HIV transmissions. by Sepideh Mazrouee (5191339)

Graphical representation of the true membership (first row) of the 30 samples in breast cancer data, compared with the memberships resulting from Cross-clustering (CC), DBSCAN, SOM... by Paola Tellaroli (2576572)

Models and procedure used to develop the algorithm. by Erick A. Perez Alday (685437)

Average running time of algorithms across all simulations. by Polina Bombina (18784215)

Subjects:

Finite element models used. by Bartłomiej Grychtol (613117)

Performance of the algorithms when the number of elements by class correspond to <i>Ne</i> = 5, 50, 500, 5000. by Mayra Z. Rodriguez (6208337)

Determination of essential phenotypic elements of clusters in high-dimensional entities—DEPECHE by Axel Theorell (6433127)

Subjects:

Simulation sample. by Xiaogang Li (299205)

Subjects:

Finite element models of the pipes. by Delong Huang (10271165)

Customer point clustering results. by Yingbo Mao (22522192)

“…First, an improved K-means algorithm (IKM) is used to cluster customer points under the constraint of the UAV’s maximum flight radius, so as to determine vehicle parking points. …”