State Space Representation with Unknown Bias
The Representation of Space and the Space of Representation: a Cognitive Science Introduction to JIGSAW
... This paper provides an introduction to JIGSAW, an algorithm for self-organising spatial mapping, capable of mapping unknown sensory systems to unknown motor systems. For computer scientists, scalability ...
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Educational space representation in cyberspace
... Thus, each type of knower, information activities and cyberspace interaction has its own logical formula of its assessment in modal logic: w=fsosl. 1. The interaction with the electronic educational resources in the ...
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Fast bias-constrained optimal FIR filtering for time-invariant state space models
... iterative bias-constrained optimal finite impulse response filtering algorithm for linear discrete time-invariant ...initial state, the property of unbiasedness is ...
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State space models: Univariate representation of a multivariate model, partial interpolation and periodic convergence
... £>Approximate N earest N eighbours It is also possible to simplify the problem by relaxing the condition on points entering the neighbourhood of v t . Because of the similarity between many days in the dataset, ...
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Learning to Lemmatize in the Word Representation Space
... For the processing of arbitrary words with an unknown case, we can make a function com- posite of multiple models, so that the output of one model is always fed as input for the next one. For instance, to ...
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Continuous state-space representation of a bucket-type rainfall-runoff model: a case study with the GR4 model using state-space GR4 (version 1.0)
... comprehensive state-space representation of the ...this state- space representation, the lag functions (unit hydrographs), which are frequent in rainfall–runoff models and make ...
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Generalized Estimation of Missing Observations in Nonlinear Time Series Model Using State Space Representation
... In the past, estimation of missing observations has been considered among others by [1, 2, 3, 4, 5, 6]. In particular, [7] and [8] developed state space method for dealing with missing observations in the ...
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II.T HE DYNAMIC MODEL OF BLDC MOTOR SYSTEM A. State-space representation of BLDC motor system
... above state- space representation is used in the following system identification step to model a commercial BLDC motor operating with a common current and voltage across the three ...
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Monocular-Based Pose Determination of Uncooperative Known and Unknown Space Objects
... uncooperative unknown orbiting ...matic state, geometry, and mass information of an unknown target was proposed , however it relies on a set of perfectly synchronized and cooperating 3D sen- sors ...
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A Novel Decoder for Unknown Diversity Channels Employing Space Time Codes
... 6. SIMULATION RESULTS For the simulations, we used the 16-QAM 16-state STC de- scribed in Section 2 with two transmit antennas and two re- ceive antennas. The channel coe ffi cients were generated as samples of ...
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Quantum de Finetti theorem in phase-space representation
... phase space therefore translates into the invariance under transformations that keep the total pho- ton number constant in the Fock ...asymptotic state in our theorem is characterized by a geomet- ric ...
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Phase Space Path Integral Representation for Wigner Function
... Right plot of Figure 2 shows dependence of squared energy on inverted tem- perature for potential V 2 4 − ( ) x . From analysis of this figure it follows that har- monic approximation gives correct enough values of H 2 ...
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A theory of concepts and their combinations II: A Hilbert space representation
... ground state (or to a lower energy state) it sends out a photon exactly of the amount of energy that equals the difference between the energy of the ground state (the lower energy state) and ...
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Representation of multi-connected system of fuzzy state space modeling (FSSM) in potential method based on a network context
... 2 useful for another reason. Hence, it is important that the complex system made just right "resolution" without going into unnecessary details. A system is a combination of variable components connected with each other ...
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Sentence State LSTM for Text Representation
... For example, with a window size of 2, ξ t i = [h t−1 i−2 , h t−1 i−1 , h t−1 i , h t−1 i+1 , h t−1 i+2 ]. We study the ef- fectiveness of window size in our experiments. Additional sentence-level nodes. By default S-LSTM ...
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State Representation Learning for Control: An Overview
... true state, but instead use information about the actions performed by the agent, their consequences in the observation space, and rewards (even if sparse, and when ...good state ...
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Navigating the unknown: place, space and drawing
... the unknown as a playful, imaginary space were amusing, but pathetically ...the unknown, and so I plonked myself down on the edge of the wharf ...
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Women’s representation in politics : voter bias, party bias, and electoral systems
... While RD designs are well known for providing a credible internal estimation of causal effects, they can be less conclusive with respect to the external validity of the findings, i.e. what the effects would be in other ...
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The Representation of Bias Perception in “Nocturnal Animals” Movie
... aspects bias perception is Nocturnal ...of bias perception using Gestalt Principle theory including Similarity, Symmetry, Closure, Figure / Ground and Continuity that occurs within the ten-analytical unit ...
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Assembly bias and Redshift Space Distortions
... the bias factor the one indicated by the real space clustering? If so, it should be the same as the ratio of the real space correlation functions of the samples with different secondary ...
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