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GECCO
2008
Springer
182views Optimization» more  GECCO 2008»
13 years 11 months ago
Scaling ant colony optimization with hierarchical reinforcement learning partitioning
This paper merges hierarchical reinforcement learning (HRL) with ant colony optimization (ACO) to produce a HRL ACO algorithm capable of generating solutions for large domains. Th...
Erik J. Dries, Gilbert L. Peterson
BMCBI
2005
84views more  BMCBI 2005»
13 years 10 months ago
A note on generalized Genome Scan Meta-Analysis statistics
Background: Wise et al. introduced a rank-based statistical technique for meta-analysis of genome scans, the Genome Scan Meta-Analysis (GSMA) method. Levinson et al. recently desc...
James A. Koziol, Anne C. Feng
ML
2007
ACM
156views Machine Learning» more  ML 2007»
13 years 9 months ago
Active learning for logistic regression: an evaluation
Which active learning methods can we expect to yield good performance in learning binary and multi-category logistic regression classifiers? Addressing this question is a natural ...
Andrew I. Schein, Lyle H. Ungar
PVLDB
2010
116views more  PVLDB 2010»
13 years 4 months ago
Schism: a Workload-Driven Approach to Database Replication and Partitioning
We present Schism, a novel workload-aware approach for database partitioning and replication designed to improve scalability of sharednothing distributed databases. Because distri...
Carlo Curino, Yang Zhang, Evan P. C. Jones, Samuel...
KDD
2009
ACM
167views Data Mining» more  KDD 2009»
14 years 10 months ago
Seven pitfalls to avoid when running controlled experiments on the web
Controlled experiments, also called randomized experiments and A/B tests, have had a profound influence on multiple fields, including medicine, agriculture, manufacturing, and adv...
Thomas Crook, Brian Frasca, Ron Kohavi, Roger Long...