[PDF.65tb] Semi-Supervised Learning (Adaptive Computation and Machine Learning series)

Semi-Supervised Learning (Adaptive Computation and Machine Learning series)

[PDF.uf97] Semi-Supervised Learning (Adaptive Computation and Machine Learning series)

Semi-Supervised Learning (Adaptive Computation From The MIT Press epub
Semi-Supervised Learning (Adaptive Computation From The MIT Press pdf download
Semi-Supervised Learning (Adaptive Computation From The MIT Press pdf file
Semi-Supervised Learning (Adaptive Computation From The MIT Press audiobook
Semi-Supervised Learning (Adaptive Computation From The MIT Press book review
Semi-Supervised Learning (Adaptive Computation From The MIT Press summary

 | #998889 in Books |  2006-09-22 | Original language:English | PDF # 1 |  10.00 x1.00 x8.00l,2.81 | File type: PDF | 528 pages

---

||5 of 5 people found the following review helpful.| Collection of articles|By Vladislavs Dovgalecs|I am working in domain of applied semi-supervised learning and i found this book to be useful. Authors are right - this field is not mature yet and there might be new methods out or on they way which would change or revolutionize the domain. However, chapters are well divided into areas and even for not very strong mathematically f| ||In summary, reading this book is a delightful journey through semi-supervised learning. (Hsun-Hsien Chang Computing s)|About the Author||Olivier Chapelle is Senior Research Scientist in Machine Learning at Yahoo.<

In the field of machine learning, semi-supervised learning (SSL) occupies the middle ground, between supervised learning (in which all training examples are labeled) and unsupervised learning (in which no label data are given). Interest in SSL has increased in recent years, particularly because of application domains in which unlabeled data are plentiful, such as images, text, and bioinformatics. This first comprehensive overview of SSL presents state-of-the-art algor...

You easily download any file type for your gadget.Semi-Supervised Learning (Adaptive Computation and Machine Learning series)   |  From The MIT Press. A good, fresh read, highly recommended.

Download Now