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TNN
1998
92views more  TNN 1998»
15 years 5 months ago
Inductive inference from noisy examples using the hybrid finite state filter
—Recurrent neural networks processing symbolic strings can be regarded as adaptive neural parsers. Given a set of positive and negative examples, picked up from a given language,...
Marco Gori, Marco Maggini, Enrico Martinelli, Giov...
ISCIS
2009
Springer
16 years 21 days ago
Predicting future object states using learned affordances
Abstract—The notion of affordances was proposed by J.J. Gibson, to refer to the action possibilities offered to the organism by its environment. In a previous formalization, affo...
Emre Ugur, Erol Sahin, Erhan Oztop
HICSS
2005
IEEE
117views Biometrics» more  HICSS 2005»
15 years 11 months ago
Interorganizational Information Integration in the Criminal Justice Enterprise: Preliminary Lessons from State and County Initia
Traditional governmental structures have organized the capture, use, and management of information along agency lines. These “information silos” are not very useful in a dynam...
José Ramón Gil-García, Carrie...
ICW
2005
IEEE
130views Communications» more  ICW 2005»
15 years 11 months ago
A Finite-State Markov Chain Model for Statistical Loss Across a RED Queue
Abstract— In this paper, we present an analytical study targeted at statistically capturing the loss behavior of a RED queue. We utilize a finite-state Markov chain model. Start...
Mohit B. Singh, Homayoun Yousefi'zadeh, Hamid Jafa...
RTSS
2002
IEEE
15 years 11 months ago
State-Dependent Deadline Scheduling
This paper presents a new workload model, called the state-dependent deadline model, for applications whose high-level timing requirements may change with time. The problem is how...
Chi-Sheng Shih, Jane W.-S. Liu