[PDF][PDF] Foundations of machine learning
M Mohri - 2018 - dlib.hust.edu.vn
A new edition of a graduate-level machine learning textbook that focuses on the analysis
and theory of algorithms. This book is a general introduction to machine learning that can …
and theory of algorithms. This book is a general introduction to machine learning that can …
Human emotion recognition based on time–frequency analysis of multivariate EEG signal
V Padhmashree, A Bhattacharyya - Knowledge-Based Systems, 2022 - Elsevier
Understanding the expression of human emotional states plays a prominent role in
interactive multimodal interfaces, affective computing, and the healthcare sector. Emotion …
interactive multimodal interfaces, affective computing, and the healthcare sector. Emotion …
[PDF][PDF] Experiments with a new boosting algorithm
Abstract In an earlier paper [9], we introduced a new “boosting” algorithm called AdaBoost
which, theoretically, can be used to significantly reduce the error of any learning algorithm …
which, theoretically, can be used to significantly reduce the error of any learning algorithm …
A decision-theoretic generalization of on-line learning and an application to boosting
In the first part of the paper we consider the problem of dynamically apportioning resources
among a set of options in a worst-case on-line framework. The model we study can be …
among a set of options in a worst-case on-line framework. The model we study can be …
[書籍][B] Pattern recognition and neural networks
BD Ripley - 2007 - books.google.com
Pattern recognition has long been studied in relation to many different (and mainly
unrelated) applications, such as remote sensing, computer vision, space research, and …
unrelated) applications, such as remote sensing, computer vision, space research, and …
A desicion-theoretic generalization of on-line learning and an application to boosting
We consider the problem of dynamically apportioning resources among a set of options in a
worst-case on-line framework. The model we study can be interpreted as a broad, abstract …
worst-case on-line framework. The model we study can be interpreted as a broad, abstract …