Yehuda Naveli, Michal Rimon, et al.
AAAI/IAAI 2006
Expanding application demand for data mining of massive data warehouses has fueled advances in automated predictive methods. We examine a few successful application areas and their technical challenges. We review the key theoretical developments in PAC and statistical learning theory that have lead to the development of support vector machines and to the use of multiple models for increased predictive accuracy.
Yehuda Naveli, Michal Rimon, et al.
AAAI/IAAI 2006
Gaku Yamamoto, Hideki Tai, et al.
AAMAS 2008
Bing Zhang, Mikio Takeuchi, et al.
NAACL 2025
Michael Muller, Anna Kantosalo, et al.
CHI 2024