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Date: 2015-02-05 08:23:09Pattern recognition Supervised learning Semi-supervised learning Neural network Data mining Random forest Computational learning theory Ensemble learning Markov chain Monte Carlo Machine learning Artificial intelligence Learning | Computer Science “Professor Zhou’s book is a comprehensive introduction to ensemble methods in machine learning. It reviews the latest research in this exciting area. I learned a lot reading it!” —Thomas G. DietAdd to Reading ListSource URL: www.islab.ntua.grDownload Document from Source WebsiteFile Size: 3,32 MBShare Document on Facebook |
Ensemble Learning or Deep Learning? Application to Default Risk Analysis Shigeyuki Hamori Minami Kawai Takahiro Kume Yuji MurakamiDocID: 1vihG - View Document | |
Ensemble Learning for Visual Recognition PhD Defence Mohammad Ali Bagheri Supervisor: Dr. Qigang GaoDocID: 1vbOa - View Document | |
Predictive Analytics Using Statistical, Learning, and Ensemble Methods to Support Real-Time Exploration of Discrete Event Simulations Walid Budgagaa , Matthew Malenseka , Sangmi Pallickaraa , Neil Harveyb , F. Jay BreidtDocID: 1uyb6 - View Document | |
Pycobra: A Python Toolbox for Ensemble Learning and Visualisation Benjamin GuedjDocID: 1tKcN - View Document | |
Ensemble Methods: Bagging and Boosting Piyush Rai Machine Learning (CS771A) Oct 26, 2016 Machine Learning (CS771A)DocID: 1tqAV - View Document |