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FLAIRS
2009
14 years 7 months ago
Analyzing Team Actions with Cascading HMM
While team action recognition has a relatively extended literature, less attention has been given to the detailed realtime analysis of the internal structure of the team actions. ...
Brandyn Allen White, Nate Blaylock, Ladislau B&oum...
IROS
2007
IEEE
157views Robotics» more  IROS 2007»
15 years 4 months ago
Autonomous blimp control using model-free reinforcement learning in a continuous state and action space
— In this paper, we present an approach that applies the reinforcement learning principle to the problem of learning height control policies for aerial blimps. In contrast to pre...
Axel Rottmann, Christian Plagemann, Peter Hilgers,...
NAACL
1994
14 years 11 months ago
Tree-Based State Tying for High Accuracy Modelling
The key problem to be faced when building a HMM-based continuous speech recogniser is maintaining the balance between model complexity and available training data. For large vocab...
S. J. Young, J. J. Odell, Philip C. Woodland
TOPNOC
2008
14 years 9 months ago
Assessing State Spaces Using Petri-Net Synthesis and Attribute-Based Visualization
State spaces are commonly used representations of system behavior. A state space may be derived from a model of system behavior but can also be obtained through process mining. For...
H. M. W. (Eric) Verbeek, A. Johannes Pretorius, Wi...
AMAST
2006
Springer
15 years 1 months ago
State Space Reduction of Rewrite Theories Using Invisible Transitions
Abstract. State space explosion is the hardest challenge to the effective application of model checking methods. We present a new technique for achieving drastic state space reduct...
Azadeh Farzan, José Meseguer