Lazy Learning is popular PDF and ePub book, written by David W. Aha in 2013-06-29, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Lazy Learning can be Read Online from any device for your convenience.
Lazy Learning Book PDF Summary
This edited collection describes recent progress on lazy learning, a branch of machine learning concerning algorithms that defer the processing of their inputs, reply to information requests by combining stored data, and typically discard constructed replies. It is the first edited volume in AI on this topic, whose many synonyms include `instance-based', `memory-based'. `exemplar-based', and `local learning', and whose topic intersects case-based reasoning and edited k-nearest neighbor classifiers. It is intended for AI researchers and students interested in pursuing recent progress in this branch of machine learning, but, due to the breadth of its contributions, it should also interest researchers and practitioners of data mining, case-based reasoning, statistics, and pattern recognition.
Detail Book of Lazy Learning PDF
- Author : David W. Aha
- Release : 29 June 2013
- Publisher : Springer Science & Business Media
- ISBN : 9789401720533
- Genre : Computers
- Total Page : 421 pages
- Language : English
- PDF File Size : 9,6 Mb
If you're still pondering over how to secure a PDF or EPUB version of the book Lazy Learning by David W. Aha, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.