Definitions of global parameters used for constructing random ecosystems. by Robert Marsland (8616483)

MEDOC: A Fast, Scalable, and Mathematically Exact Algorithm for the Site-Specific Prediction of the Protonation Degree in Large Disordered Proteins by Martin J. Fossat (3714079)

Subjects: “…mathematically exact algorithm…”

Algorithm parameter levels. by Peng Yao (448155)

“…We propose a novel optimization algorithm, the Improved Grey Wolf Optimization (IGWO), for solving the tugboat scheduling model. …”

The flowchart for the MBHA algorithm. by Sinan Q. Salih (8877938)

“…Recently, the issues behind DC have called for a search for an alternative solution. Recently, a nature-based optimization algorithm named Black Hole Algorithm (BHA) was developed to address the several well-known optimization problems. …”

The Pseudocode of MBHA algorithm. by Sinan Q. Salih (8877938)

“…Recently, the issues behind DC have called for a search for an alternative solution. Recently, a nature-based optimization algorithm named Black Hole Algorithm (BHA) was developed to address the several well-known optimization problems. …”

Comparison curve of objective function (J). by Wanjun Zhang (496858)

Fig 2 - by Alireza Rangrazjeddi (13360943)

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Fig 4 - by Alireza Rangrazjeddi (13360943)

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Data_Sheet_1_Resting-State Functional Connectivity Estimated With Hierarchical Bayesian Diffuse Optical Tomography.docx by Takatsugu Aihara (4433524)

“…We recently proposed a hierarchical Bayesian (HB) DOT algorithm and verified its performance in terms of task-related brain responses. …”

Convergence trajectories of seven algorithms on DTLZ1-4 with 3 and 10 objectives. by Heba Askr (15572851)

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Performance comparison between the proposed MaAVOA and other algorithms in terms of IGD. by Heba Askr (15572851)

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Table2_Predicting Human Protein Subcellular Locations by Using a Combination of Network and Function Features.XLSX by Lei Chen (54296)

“…To build efficient models, several powerful machine learning algorithms, including two feature selection methods, four classification algorithms, were employed. …”

Table3_Predicting Human Protein Subcellular Locations by Using a Combination of Network and Function Features.XLSX by Lei Chen (54296)

“…To build efficient models, several powerful machine learning algorithms, including two feature selection methods, four classification algorithms, were employed. …”

Table4_Predicting Human Protein Subcellular Locations by Using a Combination of Network and Function Features.XLSX by Lei Chen (54296)

“…To build efficient models, several powerful machine learning algorithms, including two feature selection methods, four classification algorithms, were employed. …”

Table1_Predicting Human Protein Subcellular Locations by Using a Combination of Network and Function Features.XLSX by Lei Chen (54296)

“…To build efficient models, several powerful machine learning algorithms, including two feature selection methods, four classification algorithms, were employed. …”

The Effect of Machine Learning Algorithms on the Prediction of Layer-by-Layer Coating Properties by Tijana Šušteršič (14519970)

“…In this paper, we compared several ML algorithms for optimizing a methodology for coating thickness prediction, namely, linear regression, Support Vector Regressor, Random Forest Regressor, and Extra Tree Regressor. …”

The first six iterations of a generic reduced gradient algorithm are shown for a simple illustrative example (see S1 Text for details). by Daniel J. Lugar (12290519)

Practical rules for summing the series of the Tweedie probability density function with high-precision arithmetic by NELSON L. DIAS (8078003)

“…These implementations need to utilize high-precision arithmetic, and are programmed in the Python programming language. A thorough comparison with existing R functions allows the identification of cases when the latter fail, and provide further guidance to their use.…”

PyNoetic’s classification module supports a range of popular and widely used ML classification models with just a single line of function call. by Gursimran Singh (575288)

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Plot from a GAM model in which the survival of smaller cluster has been modeled as a smooth function of the sample size of smaller segment for aggregate data over all levels of cov... by Muhammad Atif (2575789)