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Spaces and Identities Colas-Blaise, Marion ; Freyermuth, Sylvie ; Kmec, Sonja et al in IPSE (Ed.) Doing Identity. Subjektive Appropriations – Institutional Attributions – Socio-cultural Milieus (2011) Detailed reference viewed: 102 (9 UL)Spaces and Identities in Border Regions. Politics – Media – Subjects Wille, Christian ; Reckinger, Rachel ; Kmec, Sonja et al Book published by transcript (2016) Spatial and identity research operates with differentiations and relations. These are particularly useful heuristic tools when examining border regions where social and geopolitical demarcations diverge ... [more ▼] Spatial and identity research operates with differentiations and relations. These are particularly useful heuristic tools when examining border regions where social and geopolitical demarcations diverge. Applying this approach, the authors of this volume investigate spatial and identity constructions in cross-border contexts as they appear in everyday, institutional and media practices. The results are discussed with a keen eye for obliquely aligned spaces and identities and relinked to governmental issues of normalization and subjectivation. The studies base upon empirical surveys conducted in Germany, France, Belgium and Luxembourg. [less ▲] Detailed reference viewed: 352 (33 UL)Spaces of the Border - a Practice-theoretical Cultural Studies Perspective in Border Studies Wille, Christian in Europa Regional (2015), 21(1-2), 60-71 This paper examines how practice-theoretical considerations can be linked with those of a spatial-theoretical nature and translated into a heuristic of spatial analysis from a cultural studies perspective ... [more ▼] This paper examines how practice-theoretical considerations can be linked with those of a spatial-theoretical nature and translated into a heuristic of spatial analysis from a cultural studies perspective. This question focus results from the understanding that space should be regarded as an emergent aspect of the social and that it is still largely insufficiently defined in Border Studies. Drawing on a number of different spatial concepts, the paper first presents an action-theoretical notion of space and reformulates it in a practice-theoretical framework. It constitutes the point of departure for the development of the spaces of the border model with its analytical categories of social practices, practical knowledge as well as physical-material and social-structural aspects. The diversity of connections between these analytical categories have proven to be heuristically particularly useful. [less ▲] Detailed reference viewed: 430 (32 UL)Spaces – different modes of space in towns Pauly, Michel ; in Fray, Jean-Luc; Pauly, Michel; Pinheiro, Magda (Eds.) et al Urban Spaces and the complexity of Cities (2018) introduction to the volume stressing the importance of the spatial turn in urban history and the complexity of towns Detailed reference viewed: 32 (1 UL)Spaces: Approaches and Perspectives of Investigation Wille, Christian ; Hesse, Markus in Wille, Christian; Reckinger, Rachel; Kmec, Sonja (Eds.) et al Spaces and Identities in Border Regions. Politics – Media – Subjects (2016) Detailed reference viewed: 154 (13 UL)Spanish validation of the Sexual Addiction Screening Test. ; ; Billieux, Joël et al in Journal of behavioral addictions (2018), 7(3), 584-600 BACKGROUND AND AIMS: Sexual addiction is a pathological behavior characterized by a combination of excessive sexual desire and impaired ability to control it. Its incidence ranges between 1.2% and 32.2 ... [more ▼] BACKGROUND AND AIMS: Sexual addiction is a pathological behavior characterized by a combination of excessive sexual desire and impaired ability to control it. Its incidence ranges between 1.2% and 32.2%, although this number may vary depending on the screening tool used. This wide variability is largely due to the use of non-validated instruments (e.g., structural validity relying on exploratory analyses, instruments translated without an additional validation process, or instruments validated in another format). To deal with these limitations, this study tested the psychometric properties of the Spanish paper-and-pencil and online versions of the Sexual Addiction Screening Test (SAST). METHODS: A total of 2,528 participants (1,163 males) completed the Spanish version of the SAST, along with other instruments assessing sexual compulsivity (1,585 = paper-and-pencil, 943 = online). RESULTS: The exploratory factor analysis yielded a four-factor structure explaining 57.39% of the variance for the SAST paper-and-pencil version. This factor structure was then verified for the online version through the use of confirmatory factor analysis [chi(2)(264) = 441.59; chi(2)/df = 1.66; RMSEA = 0.02; CFI = 0.94; IFI = 0.94]. This methodology was also used to support measurement invariance (configural, metric, and scalar invariance) according to gender. The reliability of the total score ranged from .82 to .85. Similarly, correlations with related scales were positive and significant (r between .22 and .71). Temporal stability 1 year after the first application was 0.65 (paper-and-pencil format) and 0.60 (online version). CONCLUSION: These results, together with the absence of questionnaires translated into Spanish to assess this construct, justify the use of the SAST in the evaluation of sexual addiction in Spanish-speaking countries. [less ▲] Detailed reference viewed: 32 (0 UL)Ein spannendes Mosaik. Bevölkerungs- und Raumentwicklung in den USA. Hesse, Markus in Kommune (2001), 19(7), 19-23 Detailed reference viewed: 53 (0 UL)Spanning L² of a nilpotent Lie group by eigenvectors of invariant differential operators ; Molitor-Braun, Carine ; in Mathematische Zeitschrift (2008), 260(4), 717-753 Detailed reference viewed: 81 (5 UL)Spannungsfeld Berufsdomäne - Wirkt sich die Tätigkeit in einer Männer- oder Frauendomäne negativ auf das Karriereverhalten von Frauen und Männern aus? ; Krolak-Schwerdt, Sabine ; in Zeitschrift für Sozialmanagement (2005), 3 Anhand von drei empirischen Studien wurde überprüft, welchen Einfluss die Tätigkeit in einer geschlechtsspezifischen Berufsdomäne (z. B. in einer Männer oder Frauendomäne) auf die Wahrnehmung und das ... [more ▼] Anhand von drei empirischen Studien wurde überprüft, welchen Einfluss die Tätigkeit in einer geschlechtsspezifischen Berufsdomäne (z. B. in einer Männer oder Frauendomäne) auf die Wahrnehmung und das Erleben erwerbstätiger Männer und Frauen ausübt. Mittelpunkt der Untersuchung waren Erwerbstätige, die in einer Berufsdomäne tätig sind, die nicht mit ihrer Geschlechtsrolle übereinstimmt. [less ▲] Detailed reference viewed: 40 (2 UL)Spannungsfeld Föderalismus - Die Situation der Universitäten in Kanada Braband, Gangolf Article for general public (2015) Detailed reference viewed: 89 (39 UL)Spannungskopfschmerzen in der pädiatrischen Versorgung Schlarb, Angelika ; in Pädiatrische praxis (2013) Detailed reference viewed: 33 (1 UL)Spare parts planning and control for maintenance operations Arts, Joachim in Civil-Comp Proceedings (2014), 104 Detailed reference viewed: 65 (0 UL)Sparse Antenna Array Optimization with the Cross-Entropy Method ; Tantar, Emilia ; Tantar, Alexandru-Adrian et al in IEEE Transactions on Antennas & Propagation (2011), 59(8), 2862-2871 The interest in sparse antenna arrays is growing, mainly due to cost concerns, array size limitations, etc. Formally, it can be shown that their design can be expressed as a constrained multidimensional ... [more ▼] The interest in sparse antenna arrays is growing, mainly due to cost concerns, array size limitations, etc. Formally, it can be shown that their design can be expressed as a constrained multidimensional nonlinear optimization problem. Generally, through lack of convex property, such a multiextrema problem is very tricky to solve by usual deterministic optimization methods. In this article, a recent stochastic approach, called Cross-Entropy method, is applied to the continuous constrained design problem. The method is able to construct a random sequence of solutions which converges probabilistically to the optimal or the near-optimal solution. Roughly speaking, it performs adaptive changes to probability density functions according to the Kullback-Leibler cross-entropy. The approach efficiency is illustrated in the design of a sparse antenna array with various requirements. [less ▲] Detailed reference viewed: 112 (2 UL)A Sparse Bayesian Approach to the Identification of Nonlinear State-Space Systems Pan, Wei ; ; Goncalves, Jorge et al in IEEE Transaction on Automatic Control (2016), 61(1), 182-187 This technical note considers the identification of nonlinear discrete-time systems with additive process noise but without measurement noise. In particular, we propose a method and its associated ... [more ▼] This technical note considers the identification of nonlinear discrete-time systems with additive process noise but without measurement noise. In particular, we propose a method and its associated algorithm to identify the system nonlinear functional forms and their associated parameters from a limited number of time-series data points. For this, we cast this identification problem as a sparse linear regression problem and take a Bayesian viewpoint to solve it. As such, this approach typically leads to nonconvex optimisations. We propose a convexification procedure relying on an efficient iterative re-weighted ℓ1-minimisation algorithm that uses general sparsity inducing priors on the parameters of the system and marginal likelihood maximisation. Using this approach, we also show how convex constraints on the parameters can be easily added to our proposed iterative re-weighted ℓ1-minimisation algorithm. In the supplementary material \cite{appendix}, we illustrate the effectiveness of the proposed identification method on two classical systems in biology and physics, namely, a genetic repressilator network and a large scale network of interconnected Kuramoto oscillators. [less ▲] Detailed reference viewed: 253 (18 UL)Sparse Channel Estimation based on Compressed Sensing for Ultra WideBand Systems Lagunas, Eva ; in IEEE Int. Conference on Ultra WideBand (ICUWB), Bologna, Italy, September 14-16, 2011. (2011, September) Detailed reference viewed: 78 (1 UL)Sparse Channel Estimation based on Compressed Sensing Theory for Ultra-Wideband Systems Lagunas, Eva Bachelor/master dissertation (2010) Detailed reference viewed: 66 (4 UL)Sparse classification with paired covariates Rauschenberger, Armin ; ; et al in Advances in Data Analysis and Classification (in press) This paper introduces the paired lasso: a generalisation of the lasso for paired covariate settings. Our aim is to predict a single response from two high-dimensional covariate sets. We assume a one-to ... [more ▼] This paper introduces the paired lasso: a generalisation of the lasso for paired covariate settings. Our aim is to predict a single response from two high-dimensional covariate sets. We assume a one-to-one correspondence between the covariate sets, with each covariate in one set forming a pair with a covariate in the other set. Paired covariates arise, for example, when two transformations of the same data are available. It is often unknown which of the two covariate sets leads to better predictions, or whether the two covariate sets complement each other. The paired lasso addresses this problem by weighting the covariates to improve the selection from the covariate sets and the covariate pairs. It thereby combines information from both covariate sets and accounts for the paired structure. We tested the paired lasso on more than 2000 classification problems with experimental genomics data, and found that for estimating sparse but predictive models, the paired lasso outperforms the standard and the adaptive lasso. The R package palasso is available from CRAN. [less ▲] Detailed reference viewed: 133 (14 UL)Sparse conjoint analysis through maximum likelihood estimation ; ; et al in IEEE Transactions on Signal Processing (2013), 22 Conjoint analysis (CA) is a classical tool used in preference assessment, where the objective is to estimate the utility function of an individual, or a group of individuals, based on expressed preference ... [more ▼] Conjoint analysis (CA) is a classical tool used in preference assessment, where the objective is to estimate the utility function of an individual, or a group of individuals, based on expressed preference data. An example is choice-based CA for consumer profiling, i.e., unveiling consumer utility functions based solely on choices between products. A statistical model for choice-based CA is investigated in this paper. Unlike recent classification-based approaches, a sparsity-aware Gaussian maximum likelihood (ML) formulation is proposed to estimate the model parameters. Drawing from related robust parsimonious modeling approaches, the model uses sparsity constraints to account for outliers and to detect the salient features that influence decisions. Contributions include conditions for statistical identifiability, derivation of the pertinent Cramér-Rao Lower Bound (CRLB), and ML consistency conditions for the proposed sparse nonlinear model. The proposed ML approach lends itself naturally to ℓ1-type convex relaxations which are well-suited for distributed implementation, based on the alternating direction method of multipliers (ADMM). A particular decomposition is advocated which bypasses the apparent need for outlier communication, thus maintaining scalability. The performance of the proposed ML approach is demonstrated by comparing against the associated CRLB and prior state-of-the-art using both synthetic and real data sets. [less ▲] Detailed reference viewed: 123 (0 UL)Sparse Cooperative Q-learning ; Vlassis, Nikos in Proc. 21st Int. Conf. on Machine Learning, Banff, Canada, (2004) Learning in multiagent systems suffers from the fact that both the state and the action space scale exponentially with the number of agents. In this paper we are interested in using Q-learning to learn ... [more ▼] Learning in multiagent systems suffers from the fact that both the state and the action space scale exponentially with the number of agents. In this paper we are interested in using Q-learning to learn the coordinated actions of a group of cooperative agents, using a sparse representation of the joint stateaction space of the agents. We first examine a compact representation in which the agents need to explicitly coordinate their actions only in a predefined set of states. Next, we use a coordination-graph approach in which we represent the Q-values by value rules that specify the coordination dependencies of the agents at particular states. We show how Q-learning can be efficiently applied to learn a coordinated policy for the agents in the above framework. We demonstrate the proposed method on the predator-prey domain, and we compare it with other related multiagent Q-learning methods. [less ▲] Detailed reference viewed: 88 (0 UL)Sparse Correlation Matching-Based Spectrum Sensing for Open Spectrum Communications Lagunas, Eva ; in EURASIP Journal on Advances in Signal Processing (2012) Detailed reference viewed: 76 (2 UL) |
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