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ICML
2006
IEEE
14 years 9 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
13 years 10 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»
13 years 9 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
14 years 3 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»
13 years 9 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