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CSDA
2008
98views more  CSDA 2008»
15 years 6 months ago
Forecasting binary longitudinal data by a functional PC-ARIMA model
The purpose of this paper is to forecast the time evolution of a binary response variable from an associated continuous time series observed only at discrete time points that usual...
Ana M. Aguilera, Manuel Escabias, Mariano J. Valde...
SCESM
2006
ACM
238views Algorithms» more  SCESM 2006»
16 years 12 days ago
Nobody's perfect: interactive synthesis from parametrized real-time scenarios
As technical systems keep growing more complex and sophisticated, designing software for the safety-critical coordination between their components becomes increasingly difficult....
Holger Giese, Stefan Henkler, Martin Hirsch, Flori...
NIPS
2007
15 years 7 months ago
Online Linear Regression and Its Application to Model-Based Reinforcement Learning
We provide a provably efficient algorithm for learning Markov Decision Processes (MDPs) with continuous state and action spaces in the online setting. Specifically, we take a mo...
Alexander L. Strehl, Michael L. Littman
ENTCS
2007
86views more  ENTCS 2007»
15 years 6 months ago
On the Non-sequential Nature of Domain Models of Real-number Computation
Escard´o, Hofmann and Streicher showed that real-number computations in the interval-domain environment are inherently parallel, in the sense that they imply the presence of weak...
Thomas Anberrée
IIR
2010
15 years 8 months ago
Refreshing Models to Provide Timely Query Recommendations
In this work we propose a comparative study of the effects of a continuous model update on the effectiveness of wellknown query recommendation algorithms. In their original formul...
Daniele Broccolo, Franco Maria Nardini, Raffaele P...