944 resultados para stereo vision,stereo matching,cuda,lisp,connection machine


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A monthly newsletter for Iowa Commission on the Status of Women; Anxiety and Economic Uncertainty

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A monthly newsletter for Iowa Commission on the Status of Women; Anxiety and Economic Uncertainty

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This paper offers empirical evidence from Spain of a connection between the tax administration and the political power. Firstly, the regional tax administration is not immune to the budgetary situation of regional government, and tends to exert a greater (or lesser) effort in tax collection the greater (or lower) the (expected) public deficit. At the same time, the system of unconditional grants from the central layer of government provokes an ¿income effect¿ which disincentivises the efforts of the tax administration. Secondly, these efforts also decrease when the margin to lose a parliamentary seat in an electoral district is cut, although the importance of this disincentive decreases according to the parliamentary strength of the incumbent

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A monthly newsletter for Iowa Commission on the Status of Women; Early On-Set of Puberty: More Important Than You Think

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To meet the challenges related to the development of health problems taking into account the development of knowledge, several innovations in care are being implemented. Among these, advanced nursing roles and increased interprofessional collaboration are considered as important features in Switzerland. Although the international literature provides benchmarks for advanced roles, it was considered essential to contextualize these in order to promote their application value in Switzerland. Thus, from 79 statements drawn from the literature, 172 participants involved in a two-sequential phases study only kept 29 statements because they considered they were relevant, important and applicable in daily practice. However, it is important to point out that statements which have not been selected at this stage to describe advanced practice cannot be considered irrelevant permanently. Indeed, given the emergence of advanced practice in western Switzerland, it is possible that a statement judged not so relevant at this moment of the development of advanced practice, will be considered as such later on. The master's program in nursing embedded at the University of Lausanne and the University of Applied Sciences Western Switzerland was also examined in the light of these statements. It was concluded that all the objectives of the program are aligned with the competencies statements that were kept.

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This paper offers empirical evidence from Spain of a connection between the tax administration and the political power. Firstly, the regional tax administration is not immune to the budgetary situation of regional government, and tends to exert a greater (or lesser) effort in tax collection the greater (or lower) the (expected) public deficit. At the same time, the system of unconditional grants from the central layer of government provokes an ¿income effect¿ which disincentivises the efforts of the tax administration. Secondly, these efforts also decrease when the margin to lose a parliamentary seat in an electoral district is cut, although the importance of this disincentive decreases according to the parliamentary strength of the incumbent

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A monthly newsletter for Iowa Commission on the Status of Women; Early On-Set of Puberty: More Important Than You Think

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The research considers the problem of spatial data classification using machine learning algorithms: probabilistic neural networks (PNN) and support vector machines (SVM). As a benchmark model simple k-nearest neighbor algorithm is considered. PNN is a neural network reformulation of well known nonparametric principles of probability density modeling using kernel density estimator and Bayesian optimal or maximum a posteriori decision rules. PNN is well suited to problems where not only predictions but also quantification of accuracy and integration of prior information are necessary. An important property of PNN is that they can be easily used in decision support systems dealing with problems of automatic classification. Support vector machine is an implementation of the principles of statistical learning theory for the classification tasks. Recently they were successfully applied for different environmental topics: classification of soil types and hydro-geological units, optimization of monitoring networks, susceptibility mapping of natural hazards. In the present paper both simulated and real data case studies (low and high dimensional) are considered. The main attention is paid to the detection and learning of spatial patterns by the algorithms applied.

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Machine learning has been largely applied to analyze data in various domains, but it is still new to personalized medicine, especially dose individualization. In this paper, we focus on the prediction of drug concentrations using Support Vector Machines (S VM) and the analysis of the influence of each feature to the prediction results. Our study shows that SVM-based approaches achieve similar prediction results compared with pharmacokinetic model. The two proposed example-based SVM methods demonstrate that the individual features help to increase the accuracy in the predictions of drug concentration with a reduced library of training data.

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A monthly newsletter for Iowa Commission on the Status of Women; Early On-Set of Puberty: More Important Than You Think

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Iowans have long shared a deep commitment to giving our children the best education possible. We recognize young people today must meet higher expectations than ever to thrive in this global, knowledge-based economy. For the sake of our children and our state, it is vitally important that we build on our tradition of excellence to improve our schools. Iowa’s house of education still has a strong foundation, but it is also in need of a major remodel to be ready for the days ahead.

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A monthly newsletter for Iowa Commission on the Status of Women; Early On-Set of Puberty: More Important Than You Think