Kernel Based Algorithms for Mining Huge Data Sets : Supervised, Semi-supervised, and Unsupervised Learning
"Kernel Based Algorithms for Mining Huge Data Sets" is the first book treating the fields of supervised, semi-supervised and unsupervised machine learning collectively. The book presents both the theory and the algorithms for mining huge data sets by using support vector machines (SVMs) in an iterative way. It demonstrates how kernel based SVMs can be used for dimensionality reduction (feature elimination) and shows the similarities and differences between the two most popular unsupervised techniques, the principal component analysis (PCA) and the independent component analysis (ICA).
كتب مشابهة
Hotel building in Damascus city
Show a hotel building in Damascus. The project is a facility consisting of one basement use as a storage rooms and shelter, and ground story and twelve story.
A structural study and study of the site of Al-Rahma hospital - Deir Ez-Zour
Presents the structural study and design of Al-Rahma Hospital, located in Deir Ez-Zour, Al-Kanamat area near the Euphrates River. The hospital includes two basement levels and ten floors above ground. The basements house medical imaging rooms, storage spaces, and a shelter.
Introduction to finite element analysis : A textbook for engineering students
Covers the basic concepts and applications of finite element analysis. It is specifically aimed at introducing this advanced topic to undergraduate-level engineering students and practicing engineers in a lucid manner. It also introduces a structural and heat transfer analysis software FEASTSMT which has wide applications in civil, mechanical, nuclear and automobile engineering domains.
Fundamentals of durable reinforced concrete
The book presents a framework for specification through internationally adopted codes and standards and summarises the background to probabilistic approaches to durability design, providing a state-of-the-art review of mathematical modelling of deterioration mechanisms along with current directions in test methods for performance-based specifications.
