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FLAIRS
2008
15 years 8 months ago
A Backward Adjusting Strategy and Optimization of the C4.5 Parameters to Improve C4.5's Performance
In machine learning, decision trees are employed extensively in solving classification problems. In order to design a decision tree classifier two main phases are employed. The fi...
Jason R. Beck, Maria Garcia, Mingyu Zhong, Michael...
ICRA
2006
IEEE
131views Robotics» more  ICRA 2006»
16 years 6 days ago
Using Reinforcement Learning to Improve Exploration Trajectories for Error Minimization
Abstract— The mapping and localization problems have received considerable attention in robotics recently. The exploration problem that drives mapping has started to generate sim...
Thomas Kollar, Nicholas Roy
ECIS
2000
15 years 7 months ago
Organisational Learning in the UK Construction Industry: A Knowledge Management Approach
This paper describes the work of an EPSRC (Engineering and Physical Sciences Research Council) and DETR (Department for the Environment and the Regions) funded research project
Graham Orange, Alan Burke, Jon Boam
METRICS
2005
IEEE
15 years 11 months ago
Can We Teach Empirical Software Engineering?
We report about an empirical software engineering course for PhD students. We introduce its syllabus and two different pedagogical strategies. The first strategy is based on indiv...
Maria Letizia Jaccheri, Thomas Østerlie
DNA
2001
Springer
15 years 10 months ago
DNA Starts to Learn Poker
DNA is used to implement a simplified version of poker. Strategies are evolved that mix bluffing with telling the truth. The essential features are (1) to wait your turn, (2) to de...
David Harlan Wood, Hong Bi, Steven Orla Kimbrough,...