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ML
2000
ACM
103views Machine Learning» more  ML 2000»
15 years 6 months ago
Nonparametric Time Series Prediction Through Adaptive Model Selection
We consider the problem of one-step ahead prediction for time series generated by an underlying stationary stochastic process obeying the condition of absolute regularity, describi...
Ron Meir
BC
1999
108views more  BC 1999»
15 years 6 months ago
Exact digital simulation of time-invariant linear systems with applications to neuronal modeling
An ecient new method for the exact digital simulation of time-invariant linear systems is presented. Such systems are frequently encountered as models for neuronal systems, or as s...
Stefan Rotter, Markus Diesmann
CORR
2010
Springer
171views Education» more  CORR 2010»
15 years 5 months ago
Graphical Models Concepts in Compressed Sensing
This paper surveys recent work in applying ideas from graphical models and message passing algorithms to solve large scale regularized regression problems. In particular, the focu...
Andrea Montanari
CODES
2002
IEEE
15 years 11 months ago
A language for multiple models of computation
We introduce a new kernel language for modeling hardware/software systems, adopting multiple heterogenous models of computation. The language has formal operational semantics, and...
Dag Björklund, Johan Lilius
182
Voted
FIDJI
2004
Springer
15 years 10 months ago
Modeling and Analysis of Exception Handling by Using UML Statecharts
Our paper aims at proposing a framework that allows programmers to exploit the benefits of exception handling throughout the entire development Java programs by modeling exception ...
Gergely Pintér, István Majzik