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ICML
2010
IEEE
13 years 10 months ago
Continuous-Time Belief Propagation
Many temporal processes can be naturally modeled as a stochastic system that evolves continuously over time. The representation language of continuous-time Bayesian networks allow...
Tal El-Hay, Ido Cohn, Nir Friedman, Raz Kupferman
CHI
1993
ACM
14 years 29 days ago
Exploring the applications of user-expertise assessment for intelligent interfaces
An adaptive user interface relies, to a large extent, upon an adequate user model (e.g., a representationof user-expertise). However, building a user model may be a tedious and ti...
Michel Desmarais, Jiming Liu
TCS
2010
13 years 7 months ago
Incremental learning with temporary memory
In the inductive inference framework of learning in the limit, a variation of the bounded example memory (Bem) language learning model is considered. Intuitively, the new model co...
Sanjay Jain, Steffen Lange, Samuel E. Moelius, San...
IROS
2006
IEEE
142views Robotics» more  IROS 2006»
14 years 2 months ago
Experience Based Imitation Using RNNPB
—Robot imitation is a useful and promising alternative to robot programming. Robot imitation involves two crucial issues. The first is how a robot can imitate a human whose phys...
Ryunosuke Yokoya, Tetsuya Ogata, Jun Tani, Kazunor...
ISQED
2005
IEEE
125views Hardware» more  ISQED 2005»
14 years 2 months ago
A New Method for Design of Robust Digital Circuits
As technology continues to scale beyond 100nm, there is a significant increase in performance uncertainty of CMOS logic due to process and environmental variations. Traditional c...
Dinesh Patil, Sunghee Yun, Seung-Jean Kim, Alvin C...