{"product_id":"ensembles-in-machine-learning-applications-9783662507063","title":"Ensembles in Machine Learning Applications","description":"\u003cp\u003e • Author(s): Oleg Okun\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Artificial Intelligence - General\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003eThis book contains the extended papers presented at the 3rd Workshop on Supervised and Unsupervised Ensemble Methods \u003cbr\u003eand their Applications (SUEMA) that was held in conjunction with the European Conference on Machine Learning and \u003cbr\u003ePrinciples and Practice of Knowledge Discovery in Databases (ECML\/PKDD 2010, Barcelona, Catalonia, Spain). \u003cbr\u003eAs its two predecessors, its main theme was ensembles of supervised and unsupervised algorithms - advanced machine\u003cbr\u003elearning and data mining technique. Unlike a single classification or clustering algorithm, an ensemble is a group\u003cbr\u003eof algorithms, each of which first independently solves the task at hand by assigning a class or cluster label \u003cbr\u003e(voting) to instances in a dataset and after that all votes are combined together to produce the final class or \u003cbr\u003ecluster membership. As a result, ensembles often outperform best single algorithms in many real-world problems. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eThis book consists of 14 chapters, each of which can be read independently of the others. In addition to two \u003cbr\u003eprevious SUEMA editions, also published by Springer, many chapters in the current book include pseudo code and\/or \u003cbr\u003eprogramming code of the algorithms described in them. This was done in order to facilitate ensemble adoption in \u003cbr\u003epractice and to help to both researchers and engineers developing ensemble applications.\u003cbr\u003e","brand":"Springer","offers":[{"title":"Paperback","offer_id":45278466441367,"sku":"9783662507063","price":7277.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9783662507063.webp?v=1769291032","url":"https:\/\/atlanticbooks.com\/products\/ensembles-in-machine-learning-applications-9783662507063","provider":"Atlantic Books","version":"1.0","type":"link"}