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ISSRE
2007
IEEE
15 years 6 months ago
Using Machine Learning to Support Debugging with Tarantula
Using a specific machine learning technique, this paper proposes a way to identify suspicious statements during debugging. The technique is based on principles similar to Tarantul...
Lionel C. Briand, Yvan Labiche, Xuetao Liu
HEURISTICS
2008
92views more  HEURISTICS 2008»
15 years 4 months ago
Learning heuristics for basic block instruction scheduling
Instruction scheduling is an important step for improving the performance of object code produced by a compiler. A fundamental problem that arises in instruction scheduling is to ...
Abid M. Malik, Tyrel Russell, Michael Chase, Peter...
152
Voted
CORR
2002
Springer
91views Education» more  CORR 2002»
15 years 4 months ago
Data Engineering for the Analysis of Semiconductor Manufacturing Data
We have analyzed manufacturing data from several different semiconductor manufacturing plants, using decision tree induction software called Q-YIELD. The software generates rules ...
Peter D. Turney
151
Voted
ICRA
2010
IEEE
133views Robotics» more  ICRA 2010»
15 years 3 months ago
Generalized model learning for Reinforcement Learning on a humanoid robot
— Reinforcement learning (RL) algorithms have long been promising methods for enabling an autonomous robot to improve its behavior on sequential decision-making tasks. The obviou...
Todd Hester, Michael Quinlan, Peter Stone
ISVC
2010
Springer
15 years 3 months ago
On Supervised Human Activity Analysis for Structured Environments
We consider the problem of developing an automated visual solution for detecting human activities within industrial environments. This has been performed using an overhead view. Th...
Banafshe Arbab-Zavar, Imed Bouchrika, John N. Cart...