نتایج جستجو برای: parametric knn method in pilambara
تعداد نتایج: 17244768 فیلتر نتایج به سال:
The k-nearest neighbour (KNN) technique is a simple yet effective method for classification. In this paper, we propose an efficient weighted nearest neighbour classification algorithm, called PINE, using vertical data representation. A metric called HOBBit is used as the distance metric. The PINE algorithm applies a Gaussian podium function to set weights to different neighbours. We compare PIN...
چکیده : تحقیق حاضر به منظور مقایسه دو روش تدریس انتزاعی و تدریس در متن بر یادگیری دستور زبان ایتالیاییِ زبان آموزان ترم 1 مدرسه ایتالیایی تهران در تابستان 89 صورت گرفت. روش تحقیق آزمایشی بوده و پژوهش بر 30 نفر از زبان آموزان مدرسه ایتالیایی تهران که بصورت تصادفی به 2 گروه جایگزین شدند صورت گرفت. ابزار تحقیق آزمون 30 سوالی تستی از بانک سوالات استاندارد شده بود که به تصادف انتخاب شده بودند.روشهای...
data envelopment analysis (dea) is a powerful tool for measuring relative efficiency of organizational units referred to as decision making units (dmus). in most cases dmus have network structures with internal linking activities. traditional dea models, however, consider dmus as black boxes with no regard to their linking activities and therefore do not provide decision makers with the reasons...
Defect severity assessment is highly essential for the software practitioners so that they can focus their attention and resources on the defects having a higher priority than the other defects. This would directly impact resource allocation and planning of subsequent defect fixing activities. In this paper, we intend to predict a model which will be used to assign a severity level to each of t...
Currently, there has been an increasing development in the area of location-based service. An important type of query in this area is k nearest neighbor (kNN) query, which retrieves the top k nearest neighbors based on the user's position. Although a wide spectrum of work has been conducted on this query type, most of these studies focus on the ideal Euclidean plane without obstacles considered...
Condition monitoring systems for prognostics and diagnostics can enable large and complex systems to be operated more safely, at a lower cost and have a longer lifetime than is possible without them. AURA Alert is a condition monitoring system that uses a fast approximate k Nearest Neighbour (kNN) search of a timeseries database containing known system states to identify anomalous system behavi...
1&2 Department of Electronics and Communication 1&2 Punjabi University 1&2 Rajpura Road, Patiala 1&2 INDIA Abstract:Noisy Electrocardiogram (ECG) signal can mask some of the important features of the original ECG signal. Therefore, it is necessary to remove the noise for proper analysis of the ECG signal. In this paper, the use of Kohonen Neural Network (KNN) for automatically identifying the c...
This chapter describes realization of distributed approach to continuous queries with kNN join processing in the spatial telemetric data warehouse. Due to dispersion of the developed system, new structural members were distinguished: the mobile object simulator, the kNN join processing service, and the query manager. Distributed tasks communicate using JAVA RMI methods. The kNN queries (k Neare...
in this research we have studied the effect of some transition-metals (cu, ag and au) substitutions on two-electron reduction potential of flavins by application of dft method. all geometries have been optimized at blyp level of theory and “6-31+g** + lanl2dz” mixed basis set. the frequency job at the same method and basis sets has been performed to obtain gibbs free energy of compounds. it h...
the space now known as complete erdos space ec was introduced by paul erdos in 1940 as the closed subspace of the hilbert space ?2 consisting of all vectors such that every coordinate is in the convergent sequence {0} ? { 1 n : n ? n}. in a solution to a problem posed by lex g. oversteegen we present simple and useful topological characterizations of ec. as an application we determine the ...
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