Performance and Preferences: Interactive Refinement of Machine Learning Procedures

Performance and Preferences: Interactive Refinement of Machine Learning Procedures

Problem-solving procedures have been typically aimed at achieving well-defined goals or satisfying straightforward preferences. However, learners and solvers may often generate rich multiattribute results with procedures guided by sets of controls that define different dimensions of quality. We explore methods that enable people to explore and express preferences about the operation of classifi...

investigating the effect of motivation and attitude towards learning english, learning style preferences and gender on iranian efl learners proficiency

تحقیق حاضر به منظور بررسی تاثیر انگیزه و نگرش نسبت به یادگیری زبان انگلیسی، ترجیحات سبک یادگیری و جنسیت بر بسندگی فراگیران ایرانی زبان انگلیسی انجام شد. برای این منظور، 154 فراگیر ایرانی زبان انگلیسی در این تحقیق شرکت کردند. سه ابزار جمع آوری داده ها شامل آزمون تعیین سطح بسندگی زبان انگلیسی آکسفورد، پرسشنامه ترجیحات سبک یادگیری براچ و پرسشنامه انگیزه و نگرش نسبت به یادگیری زبان انگلیسی به م...

Interactive Refinement of Route Preferences for Driving

Generating satisfactory routes for driving requires data about the road network and an individual’s relative weighting of available factors. We describe an interactive planning system that generates routes with the help of a driver and refines its model of the driver’s preferences through interaction. Results of a study indicate that it is possible to model drivers through feedback about relati...

Interactive Machine Learning for Refinement and Analysis of Segmented CT/MRI Images

Interactive machine learning using BIDMach

Machine learning is growing in importance in industry, the sciences, and many other fields. In many and perhaps most of these applications, users need to trade off competing goals and build different model prototypes rapidly, which requires much human intelligence and is time consuming. Therefore, interactive customization and optimization aims to help expert incorporate secondary criteria into...