Evolving software test data: GA's learn self expression
(1996)
Book Chapter
Jim Smith's Outputs (136)
Visualising state space representations of LSTM networks
Presentation / Conference Contribution
Long Short-Term Memory (LSTM) networks have proven to be one of the most effective models for making predictions on sequence-based tasks. These models work by capturing, remembering, and forgetting information relevant to their future predictions. Th... Read More about Visualising state space representations of LSTM networks.
Making early predictions of the accuracy of machine learning applications
Preprint / Working Paper
Teaching artificial intelligence with pac-man
Preprint / Working Paper
Credit assignment in adaptive memetic algorithms
Presentation / Conference Contribution
Stop wasting time: On predicting the success or failure of learning for industrial applications
Presentation / Conference Contribution
Incorporation of adaptive mutation based on subjective evaluation in an interactive evolution strategy
Presentation / Conference Contribution
What have gene libraries done for AIS?
Presentation / Conference Contribution
Interactive evolutionary strategy based discovery of image segmentation parameters
Presentation / Conference Contribution
Study of fitness landscapes for the HP model of protein structure prediction
Presentation / Conference Contribution
Co-evolving memetic algorithms: A learning approach to robust scalable optimisation
Presentation / Conference Contribution
Parameter perturbation mechanisms in binary coded gas with self-adaptive mutation
Presentation / Conference Contribution
Emergence of profitable search strategies based on a simple inheritance mechanism
Presentation / Conference Contribution
Adaptively parameterised evolutionary systems: Self adaptive recombination and mutation in a genetic algorithm
Presentation / Conference Contribution
An adaptive poly-parental recombination strategy
Presentation / Conference Contribution
Genetic feature selection for clustering and classification
Presentation / Conference Contribution