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IROS
2007
IEEE
125views Robotics» more  IROS 2007»
14 years 2 months ago
Probabilistic inference for structured planning in robotics
Abstract— Real-world robotic environments are highly structured. The scalability of planning and reasoning methods to cope with complex problems in such environments crucially de...
Marc Toussaint, Christian Goerick
AIED
2007
Springer
14 years 2 months ago
Relating Machine Estimates of Students' Learning Goals to Learning Outcomes: A DBN Approach
Students’ actions while working with a tuoring system were used to generate estimates of learning goals, specifically, the goal of learning by using multimedia help resources, an...
Carole R. Beal, Lei Qu
ICMCS
2005
IEEE
102views Multimedia» more  ICMCS 2005»
14 years 1 months ago
A Probabilistic Framework for TV-News Stories Detection and Classification
In this paper we face the problem of partitioning the news videos into stories, and of their classification according to a predefined set of categories. In particular, we propose ...
Francesco Colace, Pasquale Foggia, Gennaro Percann...
ICANN
2009
Springer
13 years 12 months ago
Efficient Uncertainty Propagation for Reinforcement Learning with Limited Data
In a typical reinforcement learning (RL) setting details of the environment are not given explicitly but have to be estimated from observations. Most RL approaches only optimize th...
Alexander Hans, Steffen Udluft
ICMI
2000
Springer
186views Biometrics» more  ICMI 2000»
13 years 11 months ago
Off-Line Handwritten Chinese Character Recognition with Nonlinear Pre-classification
- In this paper, we describe a new Chinese character recognition system, in which neural networks are employed as a nonlinear pre-classifier to pre-classify similar Chinese charact...
Lixin Zhen, Ruiwei Dai