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ICML
2006
IEEE
15 years 10 months ago
Kernel Predictive Linear Gaussian models for nonlinear stochastic dynamical systems
The recent Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent...
David Wingate, Satinder P. Singh
ICML
2010
IEEE
14 years 11 months ago
COFFIN: A Computational Framework for Linear SVMs
In a variety of applications, kernel machines such as Support Vector Machines (SVMs) have been used with great success often delivering stateof-the-art results. Using the kernel t...
Sören Sonnenburg, Vojtech Franc
COMBINATORICS
2007
112views more  COMBINATORICS 2007»
14 years 10 months ago
Reversal Distance for Strings with Duplicates: Linear Time Approximation using Hitting Set
In the last decade there has been an ongoing interest in string comparison problems; to a large extend the interest was stimulated by genome rearrangement problems in computationa...
Petr Kolman, Tomasz Walen
HYBRID
2009
Springer
15 years 4 months ago
Finite Automata as Time-Inv Linear Systems Observability, Reachability and More
We show that regarding finite automata (FA) as discrete, time-invariant linear systems over semimodules, allows to: (1) express FA minimization and FA determinization as particula...
Radu Grosu
AUTOMATICA
2007
89views more  AUTOMATICA 2007»
14 years 10 months ago
Unbiased minimum-variance input and state estimation for linear discrete-time systems
This paper addresses the problem of simultaneously estimating the state and the input of a linear discrete-time system. A recursive filter, optimal in the minimum-variance unbias...
Steven Gillijns, Bart De Moor