Supporting feedback and assessment of digital ink answers to in-class exercises

Authors:
Kimberle Koile;Kevin Chevalier;Michel Rbeiz;Adam Rogal;David Singer;Jordan Sorensen;Amanda Smith;Kah Seng Tay;Kenneth Wu
Affiliations:
MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA;MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA;MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA;MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA;MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA;MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA;MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA;MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA;MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA
Venue:
IAAI'07 Proceedings of the 19th national conference on Innovative applications of artificial intelligence - Volume 2
Year:
2007

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Abstract

Analysis of postgenomic biological data (such as microarray and SNP data) is a subtle art and science, and the statistical methods most commonly utilized sometimes prove inadequate. Machine learning techniques can provide superior understanding in many ...