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Ensemble representation learning

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/3-540-58484-6_274openalex-snapshot

Genetic Programming with local hill-climbing

inferredcites →https://doi.org/10.1007/978-0-387-21606-5openalex-snapshot

The Elements of Statistical Learning

inferredcites →https://doi.org/10.1007/978-1-4614-1770-5_13openalex-snapshot

FFX: Fast, Scalable, Deterministic Symbolic Regression Technology

inferredcites →https://doi.org/10.1007/978-3-319-34223-8openalex-snapshot

Genetic Programming Theory and Practice XIII

inferredcites →https://doi.org/10.1007/978-3-319-55696-3_6openalex-snapshot

A General Feature Engineering Wrapper for Machine Learning Using $$\epsilon $$ -Lexicase Survival

inferredcites →https://doi.org/10.1007/978-3-319-55849-3_11openalex-snapshot

Genetic Programming Representations for Multi-dimensional Feature Learning in Biomedical Classification

inferredcites →https://doi.org/10.1007/s10710-005-2988-7openalex-snapshot

Genetic Programming with a Genetic Algorithm for Feature Construction and Selection

inferredcites →https://doi.org/10.1016/0377-0427(87)90125-7openalex-snapshot

Silhouettes: A graphical aid to the interpretation and validation of cluster analysis

inferredcites →https://doi.org/10.1016/j.patcog.2005.10.001openalex-snapshot

Breast cancer diagnosis using genetic programming generated feature

inferredcites →https://doi.org/10.1023/a:1010933404324openalex-snapshot

Random Forests

inferredcites →https://doi.org/10.1023/a:1020984725014openalex-snapshot

Genetic Programming-based Construction of Features for Machine Learning and Knowledge Discovery Tasks

inferredcites →https://doi.org/10.1073/pnas.082099299openalex-snapshot

Diagnosis of multiple cancer types by shrunken centroids of gene expression

inferredcites →https://doi.org/10.1109/tevc.2014.2362729openalex-snapshot

Solving Uncompromising Problems With Lexicase Selection

inferredcites →https://doi.org/10.1109/tkde.2005.182openalex-snapshot

Evolutionary constructive induction

inferredcites →https://doi.org/10.1109/tpami.2013.50openalex-snapshot

Representation Learning: A Review and New Perspectives

inferredcites →https://doi.org/10.1111/j.2517-6161.1996.tb02080.xopenalex-snapshot

Regression Shrinkage and Selection Via the Lasso

inferredcites →https://doi.org/10.1145/1143844.1143865openalex-snapshot

An empirical comparison of supervised learning algorithms

inferredcites →https://doi.org/10.1145/2330784.2330846openalex-snapshot

Assessment of problem modality by differential performance of lexicase selection in genetic programming

inferredcites →https://doi.org/10.1145/2464576.2482691openalex-snapshot

Effects of constant optimization by nonlinear least squares minimization in symbolic regression

inferredcites →https://doi.org/10.1145/2576768.2598264openalex-snapshot

Kaizen programming

inferredcites →https://doi.org/10.1145/2576768.2598291openalex-snapshot

Multiple regression genetic programming

inferredcites →https://doi.org/10.1145/2576768.2598292openalex-snapshot

Multiple feature construction for effective biomarker identification and classification using genetic programming

inferredcites →https://doi.org/10.1145/2739480.2754693openalex-snapshot

Building Predictive Models via Feature Synthesis

inferredcites →https://doi.org/10.1145/2739480.2754763openalex-snapshot

Genetic Programming with Epigenetic Local Search

inferredcites →https://doi.org/10.1145/2908812.2908898openalex-snapshot

Epsilon-Lexicase Selection for Regression

inferredcites →https://doi.org/10.1186/1756-0381-5-16openalex-snapshot

GAMETES: a fast, direct algorithm for generating pure, strict, epistatic models with random architectures

inferredcites →https://doi.org/10.48550/arxiv.1201.0490openalex-snapshot

Scikit-learn: Machine Learning in Python

inferredcites →https://doi.org/10.48550/arxiv.1412.4832openalex-snapshot

Variable Selection is Hard

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4656639openalex-extracted

Dynamic Cooperative Genetic Programming for Extracting Multiple Synergistic Features

inferred← citeshttps://doi.org/10.1007/978-3-319-90512-9_8openalex-snapshot

A System for Accessible Artificial Intelligence

inferred← citeshttps://doi.org/10.1007/s10710-019-09352-6openalex-snapshot

GP-based methods for domain adaptation: using brain decoding across subjects as a test-case

inferred← citeshttps://doi.org/10.1007/s10710-020-09383-4openalex-snapshot

Learning feature spaces for regression with genetic programming

inferred← citeshttps://doi.org/10.1016/j.cose.2024.104185openalex-snapshot

Genetic programming for enhanced detection of Advanced Persistent Threats through feature construction

inferred← citeshttps://doi.org/10.1016/j.ijfatigue.2023.108019openalex-snapshot

Interpretable machine learning for microstructure-dependent models of fatigue indicator parameters

inferred← citeshttps://doi.org/10.1109/tevc.2021.3136667openalex-snapshot

An Evolutionary Forest for Regression

inferred← citeshttps://doi.org/10.1109/tevc.2023.3243172openalex-snapshot

SR-Forest: A Genetic Programming-Based Heterogeneous Ensemble Learning Method

inferred← citeshttps://doi.org/10.1145/3321707.3321776openalex-snapshot

Semantic variation operators for multidimensional genetic programming

inferred← citeshttps://doi.org/10.1162/evco_a_00224openalex-snapshot

A Probabilistic and Multi-Objective Analysis of Lexicase Selection and ε-Lexicase Selection

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