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» Combining Learned Discrete and Continuous Action Models
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143
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JSAI
2005
Springer
15 years 9 months ago
Learning Stochastic Logical Automaton
Abstract. This paper is concerned with algorithms for the logical generalisation of probabilistic temporal models from examples. The algorithms combine logic and probabilistic mode...
Hiroaki Watanabe, Stephen Muggleton
EUROCAST
2001
Springer
189views Hardware» more  EUROCAST 2001»
15 years 8 months ago
Assertion-Based Analysis of Hybrid Systems with PVS
Abstract. Hybrid systems are a well-established mathematical model for embedded systems. Such systems, which combine discrete and continuous behavior, are increasingly used in safe...
Erika Ábrahám-Mumm, Ulrich Hannemann...
140
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NECO
2007
150views more  NECO 2007»
15 years 3 months ago
Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
Dorit Baras, Ron Meir
ATAL
2008
Springer
15 years 6 months ago
Modeling parallel and reactive empathy in virtual agents: an inductive approach
Humans continuously assess one another's situational context, modify their own affective state, and then respond based on these outcomes through empathetic expression. Virtua...
Scott W. McQuiggan, Jennifer L. Robison, Robert Ph...
JMLR
2012
13 years 6 months ago
Low rank continuous-space graphical models
Constructing tractable dependent probability distributions over structured continuous random vectors is a central problem in statistics and machine learning. It has proven diffic...
Carl Smith, Frank Wood, Liam Paninski