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ICML
2008
IEEE
16 years 7 months ago
Apprenticeship learning using linear programming
In apprenticeship learning, the goal is to learn a policy in a Markov decision process that is at least as good as a policy demonstrated by an expert. The difficulty arises in tha...
Umar Syed, Michael H. Bowling, Robert E. Schapire
ICML
2000
IEEE
16 years 7 months ago
Learning Subjective Functions with Large Margins
In manyoptimization and decision problems the objective function can be expressed as a linear combinationof competingcriteria, the weights of whichspecify the relative importanceo...
Claude-Nicolas Fiechter, Seth Rogers
WWW
2005
ACM
16 years 7 months ago
Boosting SVM classifiers by ensemble
By far, the support vector machines (SVM) achieve the state-of-theart performance for the text classification (TC) tasks. Due to the complexity of the TC problems, it becomes a ch...
Yan-Shi Dong, Ke-Song Han
CHI
2008
ACM
16 years 7 months ago
Design of human-map system interaction
In this work-in-progress we present some ideas and findings involving map design and human performance. Satellites has once and for all automated geographic positioning and result...
Thomas Porathe, Johannes Prison
CHI
2004
ACM
16 years 7 months ago
Reconditioned merchandise: extended structured report formats in usability inspection
Structured Problem Report Formats have been key to improving the assessment of usability methods. Once extended to record analysts' rationales, they not only reveal analyst b...
Gilbert Cockton, Alan Woolrych, Mark Hindmarch