To see accurate pricing, please choose your delivery country.
 
 
United States
£ GBP
All Shops

British Wildlife

8 issues per year 84 pages per issue Subscription only

British Wildlife is the leading natural history magazine in the UK, providing essential reading for both enthusiast and professional naturalists and wildlife conservationists. Published eight times a year, British Wildlife bridges the gap between popular writing and scientific literature through a combination of long-form articles, regular columns and reports, book reviews and letters.

Subscriptions from £33 per year

Conservation Land Management

4 issues per year 44 pages per issue Subscription only

Conservation Land Management (CLM) is a quarterly magazine that is widely regarded as essential reading for all who are involved in land management for nature conservation, across the British Isles. CLM includes long-form articles, events listings, publication reviews, new product information and updates, reports of conferences and letters.

Subscriptions from £26 per year
Academic & Professional Books  Reference  Physical Sciences  Computer Science

Kernel methods in Computational Biology

Out of Print
Edited By: Bernard Schölkopf, Koji Tsuda and Jean-Philippe Vert
416 pages, 79 illus
Publisher: MIT Press
Kernel methods in Computational Biology
Click to have a closer look
  • Kernel methods in Computational Biology ISBN: 9780262195096 Paperback Aug 2004 Out of Print #149943
About this book Biography Related titles

About this book

Modern machine learning techniques are proving to be extremely valuable for the analysis of data in computational biology problems.

Customer Reviews

Biography

Jean-Philippe Vert is Researcher and Leader of the Bioinformatics Group at Ecole des Mines de Paris.

Out of Print
Edited By: Bernard Schölkopf, Koji Tsuda and Jean-Philippe Vert
416 pages, 79 illus
Publisher: MIT Press
Media reviews

This timely collection will be an asset to anyone working with microarray data, and those involved with computational biology more generally should be aware of it. --Jun Liu, Professor of Statistics, Harvard University "This unique collection admirably covers the topic of using kernel methods to study biological data, providing up-to-date treatment of work in the field." --Junhyong Kim, Department of Biology, University of Pennsylvania

Current promotions
New and Forthcoming BooksNHBS Moth TrapBritish Wildlife MagazineBuyers Guides