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Found 9 papers, 4 papers with code
Solving Novel Program Synthesis Problems with Genetic Programming using Parametric Polymorphism
Contemporary genetic programming (GP) systems for general program synthesis have been primarily concerned with evolving programs that can manipulate values from a standard set of primitive data types and simple indexed data structures.
Probabilistic Lexicase Selection
Lexicase selection is a widely used parent selection algorithm in genetic programming, known for its success in various task domains such as program synthesis, symbolic regression, and machine learning.
Functional Code Building Genetic Programming
General program synthesis has become an important application area for genetic programming (GP), and for artificial intelligence more generally.
Independence Tests Without Ground Truth for Noisy Learners
We discuss how to use the closed form solution to create a self-consistent test that can validate the independence assumption itself absent the correct labels ground truth.
Code Building Genetic Programming
In recent years the field of genetic programming has made significant advances towards automatic programming.
Algebraic Ground Truth Inference: Non-Parametric Estimation of Sample Errors by AI Algorithms
The accuracy estimators in the experiments where we have ground truth are better than one part in a hundred.
Error Correcting Algorithms for Sparsely Correlated Regressors
How can a machine measure the error of regression sub-components when it does not have the ground truth for the correct predictions?
Lexicase Selection of Specialists
Lexicase parent selection filters the population by considering one random training case at a time, eliminating any individuals with errors for the current case that are worse than the best error in the selection pool, until a single individual remains.
TensorFlow Enabled Genetic Programming
Genetic Programming, a kind of evolutionary computation and machine learning algorithm, is shown to benefit significantly from the application of vectorized data and the TensorFlow numerical computation library on both CPU and GPU architectures.
Distributed, Parallel, and Cluster Computing
