Ensemble Machine Learning is popular PDF and ePub book, written by Cha Zhang in 2012-02-17, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Ensemble Machine Learning can be Read Online from any device for your convenience.
Ensemble Machine Learning Book PDF Summary
It is common wisdom that gathering a variety of views and inputs improves the process of decision making, and, indeed, underpins a democratic society. Dubbed “ensemble learning” by researchers in computational intelligence and machine learning, it is known to improve a decision system’s robustness and accuracy. Now, fresh developments are allowing researchers to unleash the power of ensemble learning in an increasing range of real-world applications. Ensemble learning algorithms such as “boosting” and “random forest” facilitate solutions to key computational issues such as face recognition and are now being applied in areas as diverse as object tracking and bioinformatics. Responding to a shortage of literature dedicated to the topic, this volume offers comprehensive coverage of state-of-the-art ensemble learning techniques, including the random forest skeleton tracking algorithm in the Xbox Kinect sensor, which bypasses the need for game controllers. At once a solid theoretical study and a practical guide, the volume is a windfall for researchers and practitioners alike.
Detail Book of Ensemble Machine Learning PDF
- Author : Cha Zhang
- Release : 17 February 2012
- Publisher : Springer Science & Business Media
- ISBN : 9781441993267
- Genre : Technology & Engineering
- Total Page : 332 pages
- Language : English
- PDF File Size : 7,7 Mb
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