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Approximation methods

Local Riemannian geometry of model manifolds and its implications for practical parameter identifiability

Daniel Lill, Jens Timmer, Daniel Kaschek

Noise Minimisation in Gene Expression Switches

Diana Monteoliva, Christina B. McCarthy, Luis Diambra

Are Quasi-Steady-State Approximated Models Suitable for Quantifying Intrinsic Noise Accurately?

Dola Sengupta, Sandip Kar

Distinguishing cell shoving mechanisms

Pingyu Nan, Darragh M. Walsh, Kerry A. Landman, Barry D. Hughes

A simple intuitive method for seeking intersections of hyperbolas for acoustic positioning biotelemetry

Junichi Takagi, Hirotaka Kanazawa, Kotaro Ichikawa, Hiromichi Mitamura

Assessing Numerical Dependence in Gene Expression Summaries with the Jackknife Expression Difference

John R. Stevens, Gabriel Nicholas

On the Validity of Evolutionary Models with Site-Specific Parameters

Konrad Scheffler, Ben Murrell, Sergei L. Kosakovsky Pond

Fuzzy jump wavelet neural network based on rule induction for dynamic nonlinear system identification with real data applications

Mohsen Kharazihai Isfahani, Maryam Zekri, Hamid Reza Marateb, Miguel Angel Mañanas

A simple approximation algorithm for the diameter of a set of points in an Euclidean plane

Jieying Hong, Zhipeng Wang, Wei Niu

A reliable algorithm to compute the approximate solution of KdV-type partial differential equations of order seven

Sidra Saleem, Malik Zawwar Hussain, Imran Aziz

Blind deconvolution estimation by multi-exponential models and alternated least squares approximations: Free-form and sparse approach

Daniel U. Campos-Delgado, Omar Gutierrez-Navarro, [ ... ], Javier A. Jo

Construction of a new smooth support vector machine model and its application in heart disease diagnosis

Jianjian Wang, Feng He, Shouheng Sun

Small field models with gravitational wave signature supported by CMB data

Ira Wolfson, Ramy Brustein

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