Reactions of the h-cyclopentadienyl-h-amido dimethyl titanium derivative [Ti{h-C5H4SiMe2[h-N(C6H3Me2)]}Me2] (1) with tris(pentafluorophenyl)borane B(C6F5)3 in hexane at room temperature yield a thermally stable bright yellow microcrystaline solid identified by elemental analysis as [Ti{h-C5H4SiMe2[h-N(C6H3Me2)]}Me{MeB(C6F5)3}] (2). A solution of 1 in CD2Cl2 at −78°C affords the ion-pair complex...

This thesis gives a general approach to deriving screening rules for convex optimization problems. It splits up in three steps. As the first step, the Karush-Kuhn-Tucker conditions are used to derive necessary conditions that allow to reduce the problem size. They depend on the optimal solution itself. The second step is to gather information on the optimal solution from a known approximation. ...

We explore a technique to learn Support Vector Models (SVMs) when training data is partitioned among several data sources. The basic idea is to consider SVMs which can be reduced to Minimal Enclosing Ball (MEB) problems in an feature space. Computation of such SVMs can be efficiently achieved by finding a coreset for the image of the data in the feature space. Our main result is that the union ...

Se presenta la caracterización de 1088 cuentas provenientes colecciones museos y recolecciones campo del norte Salta, Argentina. identificaron confeccionadas sobre toba, pizarra, vidrio, material malacológico minerales. Para 27 ellas se usó meb-edx drx, registrándose turquesa, sodalita ópalo, modificaron sus clasificaciones previas a partir datos geoquímicos observación macroscópica. Fi...

hydrogen peroxide is an important mild oxidant which is widely used in various applications including remediation of waste waters and drinking water resources. the safe level of h2o2 residue has to be controlled through accurate and precise measurement methods. a facile spectrophotometric method for the determination of hydrogen peroxide is based on the reaction of iodine solution with toluidin...

Deep convolutional neural networks (CNNs) have been widely applied for low-level vision over the past five years. According to nature of different applications, designing appropriate CNN architectures is developed. However, customized gather features via treating all pixel points as equal improve performance given application, which ignores effects local power and results in low training effici...

سابقه و هدف: ورود گونه­­ های ماهی مهاجم دراکوسیستم ­های آبی، سبب بروز انواع اثرات منفی اکولوژیکی اقتصادی-اجتماعی می ­­شود. اولین گام در تجزیه تحلیل مخاطرات ناشی از گونه­ غیر­بومی، شناسایی خطر است بر این اساس ابزارهای متعددی برای ارزیابی خطرات تهاجمی غیربومی به منظور پشتیبانی تصمیم گیرندگان گونه ­­ها ایجاد شده است. هدف پژوهش قدرت تیلاپیای شکم قرمز (Coptodon zillii) حوضه آبریز تالاب شادگان (حوضه‌...

Probabilistic solar power forecasting has been critical in Southern Africa because of major shortages due to climatic changes and other factors over the past decade. This paper discusses Gaussian process regression (GPR) coupled with core vector for short-term hourly global horizontal irradiance (GHI) forecasting. GPR is a powerful Bayesian non-parametric method that works well small data sets ...

A widely-used tool for binary classification is the Support Vector Machine (SVM), a supervised learning technique that finds the “maximum margin” linear separator between the two classes. While SVMs have been well studied in the batch (offline) setting, there is considerably less work on the streaming (online) setting, which requires only a single pass over the data using sub-linear space. Exis...