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Multiobjective Programming for Type-2 Hierarchical Fuzzy Inference Trees

1 code implementation16 May 2017

Hence, the proposed HFIT is an efficient and competitive alternative to the other FISs for function approximation and feature selection.

Classification feature selection +2

Ensemble of heterogeneous flexible neural trees using multiobjective genetic programming

1 code implementation16 May 2017

Machine learning algorithms are inherently multiobjective in nature, where approximation error minimization and model's complexity simplification are two conflicting objectives.

Classification Time Series +1

Layered TPOT: Speeding up Tree-based Pipeline Optimization

1 code implementation18 Jan 2018

With the demand for machine learning increasing, so does the demand for tools which make it easier to use.

Automated Feature Engineering BIG-bench Machine Learning +1

Automated Formulaic Alpha Generation for Quantitative Investing using Evolutionary Algorithms

1 code implementation 2022 2022

A cosmic ray consists of mostly highly energetic protons that emanate from the sun, the Milky Way and distant galaxies.

Evolutionary Algorithms

STREAMLINE: A Simple, Transparent, End-To-End Automated Machine Learning Pipeline Facilitating Data Analysis and Algorithm Comparison

1 code implementation23 Jun 2022

Machine learning (ML) offers powerful methods for detecting and modeling associations often in data with large feature spaces and complex associations.

Binary Classification Feature Importance +3

A fast algorithm for maximum likelihood estimation of mixture proportions using sequential quadratic programming

3 code implementations4 Jun 2018

It is substantially faster than the interior point method, and just as accurate.

Computation Methodology

Automating the Design of Multigrid Methods with Evolutionary Program Synthesis

1 code implementation22 Dec 2023

For this purpose, we develop a novel context-free grammar that enables the automated generation of multigrid methods in a symbolically-manipulable formal language, based on which we can apply the same multigrid-based solver to problems of different sizes without having to adapt its internal structure.

Code Generation Program Synthesis

Designing optical glasses by machine learning coupled with a genetic algorithm

1 code implementation20 Aug 2020

In this work, we developed a computer program that combines data-driven predictive models (in this case, neural networks) with a genetic algorithm to design glass compositions with desired combinations of properties.

Materials Science Soft Condensed Matter Computational Physics

Sparse matrix linear models for structured high-throughput data

2 code implementations15 Dec 2017

We present fast, general methods for fitting sparse matrix linear models to structured high-throughput data.

Computation

Genetic Programming Based Symbolic Regression for Analytical Solutions to Differential Equations

1 code implementation7 Feb 2023

In this paper, we present a machine learning method for the discovery of analytic solutions to differential equations.

regression Symbolic Regression