…stream from left to right into functions (called mappings) that handle data and can output new data or trained classifiers. The routine testc evaluates the trained classifiers. The examples used…
Discovered by accident
Tuesday, September 8th, 2015 at
22:17
example of the peaking phenomenon" href="https://37steps.com/2448/trunks-example/" rel="bookmark">Trunk’s example of the peaking phenomenon
Monday, April 15th, 2013 at
00:00
…training set is sufficiently large. For a finite training set there is always a point in which the noise become larger than the separability increase caused by the new feature….
Recognition, belief or knowledge" href="https://37steps.com/2616/belief-knowledge/" rel="bookmark">Recognition, belief or knowledge
Tuesday, May 14th, 2013 at
00:00
…automatically. The new, soft neurons, however, enabled advanced training by which this dangerous state could be reached by accident. The network will behave as somebody who is confident about his…
Regularization and invariants" href="https://37steps.com/4411/regularization/" rel="bookmark">Regularization and invariants
Thursday, March 20th, 2014 at
15:21
…basis of a set of observations. There exist many smooth functions that exactly pass the given points. This solution, however, does not take into account possible measurement errors. Even when…
recognition" href="https://37steps.com/78/the-art-and-science-of-pattern-recognition/" rel="bookmark">The art and science of pattern recognition
Wednesday, September 5th, 2012 at
00:00
…Godfried Toussaint never wrote the book, George Nagy was not serious and there were no notes from the symposium. If somebody is able to make it clear, it will be…
recognition" href="https://37steps.com/638/machine-learning-and-pattern-recognition/" rel="bookmark">Machine learning and pattern recognition
Thursday, October 18th, 2012 at
00:00
…a given representation of the external problems, but then starts to search for applications to validate its results. In short, PR studies problems in need for a solution, ML studies…
Aristotle and the ugly duckling theorem" href="https://37steps.com/4833/aristotle-ugly-duckling-theorem/" rel="bookmark">Aristotle and the ugly duckling theorem
Monday, November 24th, 2014 at
14:52
…particular crucial if one studies the design of machines that try to integrate knowledge and observations. The Platonic thinker may have a great, intuitive vision of his area of research….
Representations" href="https://37steps.com/4339/random-representations/" rel="bookmark">Random Representations
Wednesday, January 8th, 2014 at
11:35
…used to obtain a lower dimensionality, e.g. by a principal component analysis (PCA), a Kohonen map or an auto-encoder neural network. If kernels or dissimilarities are used the dimensionality of…
Recognition" href="https://37steps.com/475/ai_and_pr/" rel="bookmark">Artificial Intelligence and Pattern Recognition
Monday, October 15th, 2012 at
00:00
…father of the artificial neural networks that he called perceptrons. It was able to recognize patterns of similarity between new data and data it has already seen. His book, Principles…
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