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https://doi.org/10.1007/978-3-642-36543-0information retrieval; machine learning; natural language processing; recommendation systems; social net下边深陷 发表于 2025-3-29 06:00:12
Detection of Noise in Digital Images by Using the Averaging Filter Name COV and algorithms for processing signals characterized by complexity and effectiveness of removing noise from a signal, depending on the character and level of noise, it is difficult to choose the most effective method. So long as there is specific knowledge or grounds for certain assumptions as to th柏树 发表于 2025-3-29 08:28:52
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Reduction of Training Noises for Text ClassifiersPrevious studies thus have developed many text classifiers. They often employed training texts to build the classifiers, and showed that the classifiers had good performance in various application domains. However, as the training texts are often inevitably unsound or incomplete in practice, they ofROOF 发表于 2025-3-29 22:39:42
Prediction of Relevance between Requests and Web Services Using ANN and LR Modelseen a pair of service descriptions. Their similarity is then specified by a numeric value. Determining a threshold for this value is a challenge in all similar matching approaches. To address this challenge, we propose the use of classification methods to predict the relevance of requests and Web semunicipality 发表于 2025-3-30 01:22:21
A Ruled-Based Part of Speech (RPOS) Tagger for Malay Text Articlesunei and Thailand. Traditional linguistics is well developed for Malay but there are very limited resources and tools that are available or made accessible for computer linguistic analysis of Malay language. Assigning part of speech (POS) to running words in a sentence for Malay language is one of t柔软 发表于 2025-3-30 07:12:18
Viable System Model in Capturing Iterative Features within Architectural Design Processesgement, iteration is the key feature in designing. Iteration can also be manifest as different types which give particular characteristics to different stages of the design process. However, there are no existing methods that could capture and model the iterative activities of designers and support