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KDD
2006
ACM
118views Data Mining» more  KDD 2006»
14 years 9 months ago
Maximum profit mining and its application in software development
While most software defects (i.e., bugs) are corrected and tested as part of the lengthy software development cycle, enterprise software vendors often have to release software pro...
Charles X. Ling, Victor S. Sheng, Tilmann F. W. Br...
ADHOCNOW
2009
Springer
14 years 3 months ago
Auction Aggregation Protocols for Wireless Robot-Robot Coordination
Abstract. Robots coordinate among themselves to select one of them to respond to an event reported to one of robots. The goal is to minimize the communication cost of selecting bes...
Ivan Mezei, Veljko Malbasa, Ivan Stojmenovic
ATAL
2009
Springer
14 years 3 months ago
Generalized model learning for reinforcement learning in factored domains
Improving the sample efficiency of reinforcement learning algorithms to scale up to larger and more realistic domains is a current research challenge in machine learning. Model-ba...
Todd Hester, Peter Stone
BIBE
2007
IEEE
162views Bioinformatics» more  BIBE 2007»
14 years 3 months ago
An Investigation into the Feasibility of Detecting Microscopic Disease Using Machine Learning
— The prognosis for many cancers could be improved dramatically if they could be detected while still at the microscopic disease stage. We are investigating the possibility of de...
Mary Qu Yang, Jack Y. Yang
MLDM
2005
Springer
14 years 2 months ago
Multivariate Discretization by Recursive Supervised Bipartition of Graph
Abstract. In supervised learning, discretization of the continuous explanatory attributes enhances the accuracy of decision tree induction algorithms and naive Bayes classifier. M...
Sylvain Ferrandiz, Marc Boullé