Skip to Content
Practical Neural Network Recipies in C++
book

Practical Neural Network Recipies in C++

by Masters
June 2014
Intermediate to advanced
493 pages
20h 30m
English
Morgan Kaufmann
Content preview from Practical Neural Network Recipies in C++
Confidence
Measures
367
can happen if some nonaircraft objects are present in the sample, but
under-represented in number. With that dire warning firmly en-
trenched, let us proceed.
Computing Confidence
In Chapter
12,
Probabilistic Neural Networks, we saw how probability
distributions could be estimated from samples by means of Parzen
windows. We will use that technique later in this chapter. For now,
though, a much more straightforward method is preferable in that it
does not require arbitrary choice of a smoothing parameter or a
particular window function. Also, note that for computing confidence
measures as described above, we do not reall ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Data Clustering in C++

Data Clustering in C++

Guojun Gan
Wireless Network Simulation: A Guide using Ad Hoc Networks and the ns-3 Simulator

Wireless Network Simulation: A Guide using Ad Hoc Networks and the ns-3 Simulator

Henry Zárate Ceballos, Jorge Ernesto Parra Amaris, Hernan Jiménez Jiménez, Diego Alexis Romero Rincón, Oscar Agudelo Rojas, Jorge Eduardo Ortiz Triviño

Publisher Resources

ISBN: 9780080514338