David Powers
Flinders University
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Researcher in Computational Cognitive Science focussing on Cognitive Linguistics and Computational Psycholinguistics... Huh!! That means I have a focus on Artificial Intelligence/Machine Learning emphasizing unsupervised multimodal learning and conversely a focus on Cognitive Science/Human Learning exploring how babies and robots can learn to understand and interact with their physical, social, cultural and linguistic environment. Professional Interests: Computational Cognitive Science, Artificial Intelligence, Natural Language Learning, Unsupervised Machine Learning, Evaluation
Feeds
제출됨
Simple, Repeated and Nested Cross-Validation and Bootstrapping fold generation
fold sets up and manages stratified nested RxK-CV and bootstrap folds.
7년 초과 전 | 다운로드 수: 2 |
제출됨
bm(cm)
Probability results are informed plus recall, precision, F factor, G factor, correlation and kappa.
대략 8년 전 | 다운로드 수: 1 |
제출됨
squink(Colors,Gamma)
This improves on current colormaps: vivid well known colors plus smoothly increasing in mono print
8년 초과 전 | 다운로드 수: 2 |
제출됨
jetwhite(Colours)
A continuous colormap that goes from light to dark, cold to warm discriminating all hues
8년 초과 전 | 다운로드 수: 2 |
제출됨
XYrotalabel - rotate X-axis and Y-axis labels
Very simple reliable script giving simple control over label rotation with higher stability
거의 9년 전 | 다운로드 수: 1 |
제출됨
derivative
Efficient approximation of first, second and third derivatives of a function.
거의 9년 전 | 다운로드 수: 48 |