Properties of a new adaptive sampling method with applications to scalable learning
Author:
Affiliation:
1. Division of Computer Science and Engineering, School of EECS, Louisiana State University, Baton Rouge, LA 70803-4020, USA. E-mail: jianhua@csc.lsu.edu
Publisher
IOS Press
Subject
Artificial Intelligence,Computer Networks and Communications,Software
Reference13 articles.
1. Exact computation of minimum sample size for estimation of binomial parameters;Chen;Journal of Statistical Planning and Inference,2011
2. [2]J. Chen, Scalable ensemble learning by adaptive sampling, in: Proc. of International Conference on Machine Learning and Applications (ICMLA2012), Florida, Vol. 1, 2012, pp. 622–625.
3. [3]J. Chen, Properties of a new adaptive sampling method with applications to scalable learning, in: Proc. of IEEE/WIC/ACM International Conference on Web Intelligence, Atlanta, GA, Vol. 1, 2013, pp. 9–15.
4. [5]J. Chen and X. Chen, A new method for adaptive sequential sampling for learning and parameter estimation, in: Proc. of International Symposium on Methodologies for Intelligent Systems (ISMIS2011), Warsaw, Poland, 2011, pp. 220–229.
5. A measure of asymptotic efficiency for tests of a hypothesis based on the sum of observations;Chernoff;The Annals of Mathematical Statistics,1952
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