نتایج جستجو برای: ensemble semi
تعداد نتایج: 184441 فیلتر نتایج به سال:
The interfacial profile between coexisting phases of a binary mixture (A,B) in a thin film of thickness D and lateral linear dimensions L depends sensitively on both linear dimensions and on the nature of boundary conditions and statistical ensembles applied. These phenomena generic for systems in confined geometry are demonstrated by Monte–Carlo simulations of the bond fluctuation model of sym...
– Many models for chaotic systems consist of joining two integrable systems with incompatible constants of motion. The quantum counterparts of such models have a propagator which factorizes into two integrable parts. Each part can be diagonalized. The two eigenvector bases are related by an orthogonal (or unitary) transformation. We construct a random matrix ensemble that mimics this situation ...
Two important categories of machine learning methodologies have recently attracted much interest in classification research and its applications. On one side, unsupervised and semi-supervised learning allow to benefit from the availability of larger sets of training data, even if not fully annotated with class labels, and of larger sets of diverse feature representations, through novel dimensio...
An ensemble clustering has been considered as one of the research approaches in data mining, pattern recognition, machine learning and artificial intelligence over the last decade. In clustering, the combination first produces several bases clustering, and then, for their aggregation, a function is used to create a final cluster that is as similar as possible to all the cluster bundles. The inp...
Fake News Detection (FND) is an essential field in natural language processing that aims to identify and check the truthfulness of significant claims a news article decide veracity. FND finds its uses preventing social, political, national damage caused due misrepresentation facts may harm particular section society. Further, with explosive rise fake dissemination over social media, including i...
Semi-supervised learning reduces the cost of labeling the training data of a supervised learning algorithm through using unlabeled data together with labeled data to improve the performance. Co-Training is a popular semi-supervised learning algorithm, that requires multiple redundant and independent sets of features (views). In many real-world application domains, this requirement can not be sa...
Ecosystem of arid and semiarid regions of the world, much of the country lies in the sensitive and fragile environment Canvases are that factors in the extinction and destruction are easily destroyed in this paper, artificial neural networks (ANNs) are introduced to obtain improved regional low-flow estimates at ungauged sites. A multilayer perceptron (MLP) network is used to identify the funct...
Supervised machine learning is a branch of artificial intelligence concerned with learning computer programs to automatically improve with experience through knowledge extraction from examples. It builds predictive models from labeled data. Such learning approaches are useful for many interesting real-world applications, but are particularly useful for tasks involving the automatic categorizati...
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