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Gene408

P. Stevens,B. Kriefmanneral discrete setting of models for which the set of possible states is finite and so is the set of possible trading times--this includes the popular binomial tree model. This setting has the advantage of being fairly general while not requiring a sophisticated understanding of analysis at the grad

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GOAT

,Prompting Future Driven Diffusion Model for?Hand Motion Prediction, arm control. Previous works typically focus on predicting hand motion trajectories or human body motion, with direct hand motion prediction remaining largely unexplored - despite the additional challenges posed by compact skeleton size. To address this, we propose a prompt-based Future Driven Diffu

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Heteronormativit?t. Empirische Studien zu Geschlecht, Sexualit?t und Macht — eine Einführungllen Bereiche, ja die Subjekte selbst durchzieht. In der g?ngigen Rezeption referiert der Begriff auf die wechselseitige Verwiesenheit von Geschlecht und Sexualit?t und hebt die Erkenntnis hervor, dass vorherrschende Geschlechterdiskurse in mehrfacher Weise heterosexualisiert sind: Sie basieren zum

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Counting, structure identification and maximum consistency for binary constraint satisfaction problems,ity of constraint satisfaction problems in the special case when the set of constraints is closed under permutation of labels and domain restriction, and precisely identified the tractable (and intractable) cases..Using the same model we characterize the complexity of three related problems:

CRAFT

The Trouble with 2nd Order Models or How to Generate Stop-and-Go Traffic in a 1st Order Modelkward motion, oscillations and overlapping of pedestrians. These effects are intrinsic to the dynamics and the consequence of strong inertia effects that usually appear in second order models. The experimentally observed stop-and-go?behavior, which is an important test for any pedestrian model, can

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0302-9743 ernational Conference on Pervasive Computing, Pervasive 2012, held in Newcastle, UK, in June 2012. The 28 revised papers presented were carefully reviewed and selected from 138 submissions. The contributions are grouped into the following topical sections: activity capturing; urban mobility and comp

Kinetic

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Renewal Process, an example. In Sect. 5, some variations of renewal processes, such as delayed renewal process, stationary renewal process, renewal reward process, and alternating renewal process are discussed in brief. The last section presents R codes used to solve the examples in the chapter.

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