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Linearization Method and Linear Complexity

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2008
We focus on the relationship between the linearization method and linear complexity and show that the linearization method is another effective technique for calculating linear complexity. We analyze its effectiveness by comparing with the logic circuit method.
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Linear Logic for Non-Linear Storytelling

2010
Whilst narrative representations have played a prominent role in AI research, there has been a renewed interest in the topic with the development of interactive narratives. A typical approach aims at generating narratives from baseline action representations, most often using planning techniques.
Anne-Gwenn Bosser   +2 more
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A Theorem on Linearity

IEEE Transactions on Computers, 1968
Abstract—A system is linear if and only if it is zero-state linear, zero-input linear, and its input-output state equation has the decompostion property. In this note, it is shown that zero-state linearity is sufficient to imply that the set of states accessible from the zero state can be made into a vector space over the output field and the zeroinput
K. Doty, H. Frank
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Linear active control for linear and non linear structures

Proceedings Intelligent Information Systems. IIS'97, 2002
This paper summarizes the basic approaches and the results obtained by the authors regarding the active control of structures. The optimal design of linear active control algorithms for nominally linear oscillators and their validation for non-linear systems (Van der Pol and Duffing oscillators), unknown and stochastic forcing functions, delayed and ...
BARATTA, ALESSANDRO   +2 more
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Linear domains and linear maps

1994
We study the symmetric monoidal closed category LIN of linear domains. Its objects are inverse limits of finite, bounded complete posets with respect to projection-embedding pairs preserving all suprema. The full reflective subcategory LL of linear lattices is a denotational model of linear logic; the negation is A ↦ A op and !(A) is the lattice of all
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On linear programs with linear complementarity constraints

Journal of Global Optimization, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jing Hu   +3 more
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Linear proofs and linear logic

2005
In [3] a modification of the Connection Method [2] called Linear Proofs was introduced which constituted a new logical approach to plan generation. Inspired by this idea in [7] a similar approach based on Linear Logic was presented. The present paper analyses the relationship of these two approaches and shows to which extent they are equivalent and ...
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Linear and non-linear filtering in stereopsis

Vision Research, 1994
To better understand the spatial filtering operations underlying stereopsis, and their relationship to those underlying monocular localization of the same stimuli, we examined the dependence of stereoacuity on carrier and envelope size of Gabor patches.
R F, Hess, L M, Wilcox
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Training linear SVMs in linear time

Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining, 2006
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for high-dimensional sparse data commonly encountered in applications like text classification, word-sense disambiguation, and drug design. These applications involve a large number of examples n as well as a large number of features N, while each ...
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On the Independence of Linear Functionals of Linear Processes

SIAM Journal on Applied Mathematics, 1969
A class of continuous parameter random processes is defined whose members, $x(t)$, are integrals of a nonstationary random “filter” function, $h(t,\lambda )$, with respect to an independent increments process $Z(\lambda )$. Linear functionals l of $x(t)$ expressible as integrals of a random function $\phi (\lambda )$ with respect to $Z(\lambda )$ are ...
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