<--- Back to Details
First PageDocument Content
Survey methodology / Machine learning algorithms / Sampling techniques / Artificial intelligence / Sampling / Support vector machine / Reinforcement learning / Simple random sample / Learning / Machine learning / Cognition
Date: 2016-01-04 03:15:09
Survey methodology
Machine learning algorithms
Sampling techniques
Artificial intelligence
Sampling
Support vector machine
Reinforcement learning
Simple random sample
Learning
Machine learning
Cognition

Self-Practice Imitation Learning from Weak Policy Qing Da, Yang Yu, and Zhi-Hua Zhou National Key Laboratory for Novel Software Technology Nanjing University, Nanjing, China {daq,yuy,zhouzh}@lamda.nju.edu.cn

Add to Reading List

Source URL: cs.nju.edu.cn

Download Document from Source Website

File Size: 498,17 KB

Share Document on Facebook

Similar Documents

Support Vector Machine Mohammad Emtiyaz Khan EPFL Oct 29, 2015

Support Vector Machine Mohammad Emtiyaz Khan EPFL Oct 29, 2015

DocID: 1uEDY - View Document

Support Vector Machines and Kernel Methods Shrey Gupta Applied Machine Learning (HOUSECS 59-01), Duke University October 10, 2018

Support Vector Machines and Kernel Methods Shrey Gupta Applied Machine Learning (HOUSECS 59-01), Duke University October 10, 2018

DocID: 1uA0f - View Document

Robust Truncated Hinge Loss Support Vector Machines Yichao W U and Yufeng L IU The support vector machine (SVM) has been widely applied for classification problems in both machine learning and statistics. Despite its pop

Robust Truncated Hinge Loss Support Vector Machines Yichao W U and Yufeng L IU The support vector machine (SVM) has been widely applied for classification problems in both machine learning and statistics. Despite its pop

DocID: 1uuGd - View Document

Support Vector Machine for Anti-Pattern Detection Abdou Maiga1,3 , Nasir Ali1,2 , Neelesh Bhattacharya1,2 , Aminata Sabané1,2 Yann-Gaël Guéhéneuc1 , Giuliano Antoniol2 , and Esma Aimeur3 1 Ptidej Team, DGIGL, École

Support Vector Machine for Anti-Pattern Detection Abdou Maiga1,3 , Nasir Ali1,2 , Neelesh Bhattacharya1,2 , Aminata Sabané1,2 Yann-Gaël Guéhéneuc1 , Giuliano Antoniol2 , and Esma Aimeur3 1 Ptidej Team, DGIGL, École

DocID: 1tZPb - View Document

Support Vector Machine Mohammad Emtiyaz Khan EPFL Oct 29, 2015

Support Vector Machine Mohammad Emtiyaz Khan EPFL Oct 29, 2015

DocID: 1tVBH - View Document