Ensemble Learning or Deep Learning? Application to Default Risk Analysis Shigeyuki Hamori Minami Kawai Takahiro Kume Yuji Murakami

Source URL: www.econ.kobe-u.ac.jp

Ensemble Learning for Visual Recognition PhD Defence Mohammad Ali Bagheri Supervisor: Dr. Qigang Gao

Source URL: sergioescalera.com

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 Breidt

Source URL: galileo.cs.colostate.edu

Pycobra: A Python Toolbox for Ensemble Learning and Visualisation Benjamin Guedj

Source URL: bguedj.github.io

Ensemble Methods: Bagging and Boosting Piyush Rai Machine Learning (CS771A) Oct 26, 2016 Machine Learning (CS771A)

Source URL: cse.iitk.ac.in

Video Super-Resolution via Deep Draft-Ensemble Learning Renjie Liao† Xin Tao† Ruiyu Li†

Source URL: www.cv-foundation.org

On-line Learning Approach to Ensemble Methods for Structured Prediction ∗ Corinna Cortes Google Research 76 Ninth Avenue New York, NY 10011

Source URL: www.cims.nyu.edu

Learning to REDUCE: A Reduced Electricity Consumption Prediction Ensemble Saima Aman Charalampos Chelmis and Viktor K. Prasanna Computer Science Department

Source URL: ganges.usc.edu

INVITATION TO DISTINGUISHED LECTURE Distinguished Lecture hosted by Platform Technologies Research Institute and the School of Computer Science and Information Technology: From Ensemble Learning to Learning in the Model

Source URL: goanna.cs.rmit.edu.au

Mittagsseminar Natural Gradient in Evolution Strategies Sebastian U. Stich ETH Z¨ urich

Source URL: sstich.ch

• Numerical analysis
• Mathematical analysis
• Mathematics
• Evolutionary algorithms
• Stochastic optimization
• Ensemble learning
• Natural evolution strategy
• Mathematical optimization
• Gradient descent
• AdaBoost
• Gradient