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» A Neural Probabilistic Language Model
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FUIN
2008
108views more  FUIN 2008»
14 years 8 months ago
Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques
Causal relations are present in many application domains. Causal Probabilistic Logic (CP-logic) is a probabilistic modeling language that is especially designed to express such rel...
Wannes Meert, Jan Struyf, Hendrik Blockeel
FDL
2006
IEEE
15 years 3 months ago
Randomized Simulation of Hybrid Systems For Circuit Validation
Abstract. The paper proposes a simulation-based method for validating analog and mixed-signal circuits, using the hybrid systems methodology. This method builds upon RRT (Rapidly-e...
Thao Dang, Tarik Nahhal
ATAL
2005
Springer
15 years 3 months ago
Exploiting a sensed environment to improve human-agent communication
This paper describes an implemented robotic agent architecture in which the environment, as sensed by the agent, is used to guide the recognition of spoken and gestural directives...
Shana Watters, Tim Miller, Praveen Balachandran, W...
77
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ICPR
2000
IEEE
15 years 2 months ago
Stochastic Error-Correcting Parsing for OCR Post-Processing
In this paper, stochastic error-correcting parsing is proposed as a powerful and flexible method to post-process the results of an optical character recognizer (OCR). Determinist...
Juan Carlos Pérez-Cortes, Juan-Carlos Ameng...
ENTCS
2006
114views more  ENTCS 2006»
14 years 9 months ago
Stochastic Concurrent Constraint Programming
We present a stochastic version of Concurrent Constraint Programming (CCP), where we associate a rate to each basic instruction that interacts with the constraint store. We give a...
Luca Bortolussi