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JAIR
2007
127views more  JAIR 2007»
15 years 6 months ago
Learning Symbolic Models of Stochastic Domains
In this article, we work towards the goal of developing agents that can learn to act in complex worlds. We develop a a new probabilistic planning rule representation to compactly ...
Hanna M. Pasula, Luke S. Zettlemoyer, Leslie Pack ...
CORR
2002
Springer
100views Education» more  CORR 2002»
15 years 6 months ago
A neural model for multi-expert architectures
We present a generalization of conventional artificial neural networks that allows for a functional equivalence to multi-expert systems. The new model provides an architectural fr...
Marc Toussaint
ICIP
2003
IEEE
16 years 8 months ago
Robust time-frequency model estimation in otolith images for fish age and growth analysis
We present a robust method for time-frequency model estimation. It involves a robust Leclerc's estimator to ensure robustness w.r.t. noise and interferences present in timefr...
Ronan Fablet, Abdessalam Benzinou, Christian Donca...
ICSE
2009
IEEE-ACM
16 years 1 months ago
Towards a framework for supporting software modeling activities through novel interaction and visualization techniques
Though there is a multitude of software modeling tools available, the handling of diagrams, which are an essential way of representation, is still difficult. To overcome these pr...
Mathias Frisch, Raimund Dachselt
ROBOCUP
2001
Springer
126views Robotics» more  ROBOCUP 2001»
15 years 11 months ago
Recognizing Probabilistic Opponent Movement Models
In multiagent adversarial domains, team agents should adapt to the environment and opponent. We introduce a model representation as part of a planning process for a simulated socce...
Patrick Riley, Manuela M. Veloso