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...
In manyoptimization and decision problems the objective function can be expressed as a linear combinationof competingcriteria, the weights of whichspecify the relative importanceo...
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...
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...
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...