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» Approximate Learning of Dynamic Models
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ICML
2006
IEEE
16 years 7 months ago
Combining discriminative features to infer complex trajectories
We propose a new model for the probabilistic estimation of continuous state variables from a sequence of observations, such as tracking the position of an object in video. This ma...
David A. Ross, Simon Osindero, Richard S. Zemel
LORI
2009
Springer
16 years 27 days ago
Dynamic Testimonial Logic
We propose a dynamic testimonial logic (DTL) to model communication and belief change among agents with different dispositions to trust each other as information sources. DTL is ...
Wesley H. Holliday
IJAR
2010
105views more  IJAR 2010»
15 years 3 months ago
A tree augmented classifier based on Extreme Imprecise Dirichlet Model
In this paper we present TANC, i.e., a tree-augmented naive credal classifier based on imprecise probabilities; it models prior near-ignorance via the Extreme Imprecise Dirichlet ...
G. Corani, C. P. de Campos
CHI
2000
ACM
15 years 10 months ago
Instructional interventions in computer-based tutoring: differential impact on learning time and accuracy
We can reliably build “second generation” intelligent computer tutors that are approximately half as effective as human tutors. This paper evaluates two interface enhancements...
Albert T. Corbett, Holly J. Trask
154
Voted
NIPS
1994
15 years 7 months ago
From Data Distributions to Regularization in Invariant Learning
Ideally pattern recognition machines provide constant output when the inputs are transformed under a group G of desired invariances. These invariances can be achieved by enhancing...
Todd K. Leen