Functional genomics is a typical scientific discovery domain characterized by a very large number of attributes (genes) relative to the number of examples (observations). The dang...
Imprecision, incompleteness, prior knowledge or improved learning speed can motivate interval–represented data. Most approaches for SVM learning of interval data use local kernel...
A number of problems in computer science can be solved efficiently with the so called memory based or kernel methods. Among this problems (relevant to the AI community) are multime...
One of the main problems faced by university students is deciding the right learning path based on available information such as courses, schedules and professors. In this context,...
Soil contains vast ecosystems that play a key role in the Earth’s water and nutrient cycles, but scientists cannot currently collect the high-resolution data required to fully u...
Nithya Ramanathan, Thomas Schoellhammer, Eddie Koh...