- Page 1: Diploma ThesisDepartment for Theore
- Page 6 and 7: molecules from bovine retinal rod c
- Page 8 and 9: Jede einzelne dieser Zustände besi
- Page 10 and 11: Contents4.1 The Physical Principle
- Page 12 and 13: List of Figures5.4 Estimation of th
- Page 14 and 15: 1 Motivationmere model.In the appen
- Page 16 and 17: 1 Motivation4
- Page 18 and 19: 2 Visual TransductionVision is a co
- Page 20 and 21: 2 Visual Transductionthe special ca
- Page 22 and 23: 2 Visual Transductioncells will be
- Page 24 and 25: 3 Theory3.1 Inverse Problems and Ba
- Page 26 and 27: 3 TheoryThe reason why we have ment
- Page 28 and 29: 3 Theory21 1 2 1 1 1 3 3 3 3 3i 0i
- Page 30 and 31: 3 Theorywhile p n i, j is given by
- Page 32 and 33: 3 Theorymodel the state is directly
- Page 34 and 35: 3 TheoryRelation 3.1 (Parameter Est
- Page 36 and 37: 3 TheoryAn example of a local optim
- Page 38 and 39: 3 Theory• β i (t) = ∑ N j=1 a
- Page 40 and 41: 3 Theoryall the dynamical states th
- Page 42 and 43: 3 TheoryHistorically, it is not so
- Page 44 and 45: 3 Theory3.9.1 Langevin EquationAs p
- Page 46 and 47: 3 Theorywhile γ −1 plays the rol
- Page 48 and 49: 3 TheoryThis stochastic process Γ(
- Page 50 and 51: 3 Theoryalready presented in sectio
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3 Theoryµ(t + τ) = O t−1 − F
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3 TheoryX 3 =X 1 =T∑t=1T∑t=1α
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3 TheoryA likelihood function with
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3 Theory3.12 Artificial Test Exampl
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3 TheoryFigure 3.11: Three-dimensio
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3 Theory( )F 1 0 0=0 0( )µ 1 0.3=0
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3 Theorydist(T ,T est ) = 0.002. (3
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3 Theorymatrices for the related hi
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3 Theory3.12.3 Contemplations on Hi
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3 TheoryCombining GA with HMM-VAR m
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3 Theoryand determines the acceptan
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4 Fluorescence Tracking Experiments
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4 Fluorescence Tracking Experiments
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4 Fluorescence Tracking Experiments
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4 Fluorescence Tracking Experiments
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4 Fluorescence Tracking Experiments
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4 Fluorescence Tracking Experiments
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5 Modeling of the Experiment5.1 Exp
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5 Modeling of the Experiment(a)(b)(
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5 Modeling of the Experimentvalues
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5 Modeling of the ExperimentHere th
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5 Modeling of the ExperimentRunning
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5 Modeling of the Experimentsmall a
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5 Modeling of the Experimentd x =li
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5 Modeling of the ExperimentD (1) (
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5 Modeling of the Experiment90
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6 Conclusion and OutlookThe mean no
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7 Bibliography[16] I. Horenko, E. D
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7 Bibliography[52] S. Kirkpatrick,
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IndexSimulated Annealing (SA), 59Sm
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A Appendixthe ideal of continuous a
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A AppendixA.3 Probability TheoryDef
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A AppendixDefinition A.6 (Independe
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A AppendixDefinition A.17 (Solution
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A AppendixA.5 The Auto-Correlation
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A Appendixregardless of any applied
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A Appendixwith dΓ, the volume-elem
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A AppendixWith (n ≥ 0)12πˆ ∞
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A AppendixNext we expand the functi
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A AppendixIn addition to the determ
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A AppendixAuch möchte ich danken m