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ESANN
2007
13 years 9 months ago
Systematicity in sentence processing with a recursive self-organizing neural network
Abstract. As potential candidates for human cognition, connectionist models of sentence processing must learn to behave systematically by generalizing from a small traning set. It ...
Igor Farkas, Matthew W. Crocker
AROBOTS
2011
13 years 2 months ago
Learning GP-BayesFilters via Gaussian process latent variable models
Abstract— GP-BayesFilters are a general framework for integrating Gaussian process prediction and observation models into Bayesian filtering techniques, including particle filt...
Jonathan Ko, Dieter Fox
IPL
2010
134views more  IPL 2010»
13 years 4 months ago
Refining abstract interpretations
cally Refining Abstract Interpretations Bhargav S. Gulavani1 , Supratik Chakraborty1 , Aditya V. Nori2 , and Sriram K. Rajamani2 1 IIT Bombay 2 Microsoft Research India Abstract. A...
Bhargav S. Gulavani, Supratik Chakraborty, Aditya ...
CDC
2008
IEEE
120views Control Systems» more  CDC 2008»
14 years 2 months ago
Approximate abstractions of discrete-time controlled stochastic hybrid systems
ate Abstractions of Discrete-Time Controlled Stochastic Hybrid Systems Alessandro D’Innocenzo, Alessandro Abate, and Maria D. Di Benedetto — This work proposes a procedure to c...
Alessandro D'Innocenzo, Alessandro Abate, Maria Do...
CDC
2008
IEEE
148views Control Systems» more  CDC 2008»
14 years 2 months ago
Recursive state estimation for linear systems with mixed stochastic and set-bounded disturbances
Abstract— Recursive state estimation is considered for discrete time linear systems with mixed process and measurement disturbances that have stochastic and (convex) set-bounded ...
Toivo Henningsson