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AAAI
2006
15 years 8 months ago
Unsupervised Order-Preserving Regression Kernel for Sequence Analysis
In this work, a generalized method for learning from sequence of unlabelled data points based on unsupervised order-preserving regression is proposed. Sequence learning is a funda...
Young-In Shin
AAAI
2000
15 years 8 months ago
Interactive Training for Synthetic Characters
Compelling synthetic characters must behave in ways that reflect their past experience and thus allow for individual personalization. We therefore need a method that allows charac...
Song-Yee Yoon, Robert C. Burke, Bruce Blumberg, Ge...
AAAI
2010
15 years 6 months ago
Multi-Task Sparse Discriminant Analysis (MtSDA) with Overlapping Categories
Multi-task learning aims at combining information across tasks to boost prediction performance, especially when the number of training samples is small and the number of predictor...
Yahong Han, Fei Wu, Jinzhu Jia, Yueting Zhuang, Bi...
AAMAS
2010
Springer
15 years 6 months ago
Teaching a pet-robot to understand user feedback through interactive virtual training tasks
Abstract In this paper, we present a human-robot teaching framework that uses "virtual" games as a means for adapting a robot to its user through natural interaction in a...
Anja Austermann, Seiji Yamada
AAI
2005
124views more  AAI 2005»
15 years 6 months ago
Lessons From Emotion Psychology For The Design Of Lifelike Characters
This special issue describes a number of applications that utilize lifelike characters that teach indirectly, by playing some role in a social interaction with a user. The design ...
Jonathan Gratch, Stacy Marsella