Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Supervised and Unsupervised Ensemble Methods and their Applications (Studies in Computational Intelligence)

Buy
The rapidly growing amount of data, available from different technologies in the field of bio-sciences, high-energy physics, economy, climate analysis, and in several other scientific disciplines, requires a new generation of machine learning and statistical methods to deal with their complexity and heterogeneity. As data collections becomes easier, data analysis is required to be more sophisticated in order to extract useful information from the available data.

Even if data can be represented in several ways, according to their structural characteristics, ranging from strings, lists, trees to graphs and other more complex data structures, in most applications they are typically represented as a matrix whose rows correspond to measurable characteristics called features, attributes, variables, depending on the considered discipline and whose columns correspond to examples (cases, samples, patterns). In order to avoid confusion, we will talk about features and examples. In real-world tasks, there can be many more features than examples (cancer classification based on gene expression levels in bioinformatics) or there can be many more examples than features (intrusion detection in computer/network security). In addition, each example can be either labeled or not. Attaching labels allows to distinguish members of the same class or group from members of other classes or groups. Hence, one can talk about supervised and unsupervised tasks that can be solved by machine learning methods.

Since it is widely accepted that no single classifier or clustering algorithm can be superior to the others, ensembles of supervised and unsupervised methods are gaining popularity. A typical ensemble includes a number of classifiers/clusterers whose predictions are combined together according to a certain rule, e.g. majority vote.

Statistical, algorithmical, representational, computational and practical reasons can explain the success of ensemble methods. In particular several empirical results have demonstrated that ensembles often provide a better solution to the problem than any single method.
(HTML tags aren't allowed.)

TensorFlow Machine Learning Cookbook: Over 60 recipes to build intelligent machine learning systems with the power of Python, 2nd Edition
TensorFlow Machine Learning Cookbook: Over 60 recipes to build intelligent machine learning systems with the power of Python, 2nd Edition

Skip the theory and get the most out of Tensorflow to build production-ready machine learning models

Key Features

  • Exploit the features of Tensorflow to build and deploy machine learning models
  • Train neural networks to tackle real-world problems in Computer Vision and...
The Cambridge Handbook of Information and Computer Ethics
The Cambridge Handbook of Information and Computer Ethics

Information and Communication Technologies (ICTs) have profoundly changed many aspects of life, including the nature of entertainment, work, communication, education, healthcare, industrial production and business, social relations and conflicts. They have had a radical and widespread impact on our moral lives and hence on contemporary...

iPhone and iPad Apps for Absolute Beginners (Getting Started)
iPhone and iPad Apps for Absolute Beginners (Getting Started)

The iPhone is the hottest gadget of our generation, and much of its success has been fueled by the App Store, Apple’s online marketplace for iPhone applications. Over 1 billion apps have been downloaded in the 9 months the App Store has been open, ranging from the simplest games to the most complex business apps. Everyone has an idea...


Interventions for Persisting Ductus Arteriosus in the Preterm Infant
Interventions for Persisting Ductus Arteriosus in the Preterm Infant

Over the past few years a remarkably rapid evolution in the professional level of neonatology and in the survival of immature infants has been witnessed. Persisting ductus arteriosus is common in this population and is associated with impaired longterm outcome. Many uncertainties exist concerning indication, approach, best time, and side...

Beginning iOS Application Development with HTML and JavaScript (Wrox Programmer to Programmer)
Beginning iOS Application Development with HTML and JavaScript (Wrox Programmer to Programmer)
THE AMAZING SUCCESS OF THE IPHONE and iPad over the past four years has proven that application developers are now smack deep in a brave new world of sophisticated, multifunctional mobile applications. No longer do applications and various media need to live in separate silos. Instead, mobile web-based applications can bring...
Introduction to Embedded Systems: Interfacing to the Freescale 9S12
Introduction to Embedded Systems: Interfacing to the Freescale 9S12

Embedded computer systems are electronic systems that include a microcomputer to perform specific dedicated tasks. The computer is hidden inside these products. Embedded systems are ubiquitous. Every week millions of tiny computer chips come pouring out of factories like Freescale, Microchip, Philips, Texas Instruments, Silicon Labs,...

©2021 LearnIT (support@pdfchm.net) - Privacy Policy