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778views
17 years 1 months ago
Gaussian Processes for Machine Learning
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
Carl Edward Rasmussen and Christopher K. I. Willia...
ICDM
2002
IEEE
70views Data Mining» more  ICDM 2002»
15 years 8 months ago
Progressive Modeling
Presently, inductive learning is still performed in a frustrating batch process. The user has little interaction with the system and no control over the final accuracy and traini...
Wei Fan, Haixun Wang, Philip S. Yu, Shaw-hwa Lo, S...
ICCS
2007
Springer
15 years 9 months ago
Learning Common Outcomes of Communicative Actions Represented by Labeled Graphs
We build a generic methodology based on learning and reasoning to detect specific attitudes of human agents and patterns of their interactions. Human attitudes are determined in te...
Boris Galitsky, Boris Kovalerchuk, Sergei O. Kuzne...
BIS
2009
154views Business» more  BIS 2009»
15 years 4 months ago
Using Process Mining to Generate Accurate and Interactive Business Process Maps
Abstract. The quality of today's digital maps is very high. This allows for new functionality as illustrated by modern car navigation systems (e.g., TomTom, Garmin, etc.), Goo...
Wil M. P. van der Aalst
CHI
2002
ACM
16 years 3 months ago
WebQuests: changing the way we teach online
This paper introduces WebQuests as potential teaching tools for HCI and software design educators. Based on our daylong observations of a high-school class, we believe that WebQue...
Brenda Hopkins-Moore, Susan Fowler