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ESANN
2007
15 years 3 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
14 years 9 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
121
Voted
IPL
2010
134views more  IPL 2010»
14 years 11 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 ...
109
Voted
CDC
2008
IEEE
120views Control Systems» more  CDC 2008»
15 years 8 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...
130
Voted
CDC
2008
IEEE
148views Control Systems» more  CDC 2008»
15 years 8 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