Contact
How to shop
Delivery
Shopping guide
Advances in Supervised Classification Models
Semi-Naive Bayes Classifiers, Classification Trees and Applications to Genomics
English
167 b
Up to 30 days for returns
Customers also purchased
/
Paperback
35.71
€
Supervised classification models allow to make predictions about a target random variable, which describes a feature of interest of some object, using the evidence provided by a set of descriptives variables about this object. For example, predict if an email is spam or not using the words it contains. The first part of this book presents two new contributions to the state of the art of these models. Firstly, a new semi-Naive Bayes classifier is presented which provides competitive predictions while requires very low memory resources. These properties make this model attractive for integration into devices with limited memory resources (e.g. mobile phones). The second contribution was a new Bayesian approach to the problem of learning classification trees. In the second part of this book, new supervised classification models based on the selection of small sets of predictive features were proposed and applied to the analysis of genomic data sets. More precisely, the classification in molecular subtypes of tumor samples which had a variant of lymphoma cancer ("Diffuse Large-B Cell Lymphoma") was approached.
About the book
English
Give this book today
It's easy
1 Add to cart and choose Deliver as present at the checkout 2 We'll send you a voucher 3 The book will arrive at the recipient's addressYou might also be interested in
/
Hardback
205.79
€
/
Paperback
24.78
€
/
Paperback
11.22
€
Hi! I'm Libroamiko, your book advisor.
How can I help you?