With the rapid growth of text message, information processing has become anindispensable tool for knowledge acquisition. Text classification is an importantresearch direction of information processing, which effectively improves the qualityof information services, making it easier for users to locate more accurately therequired information. Also text classification is widely used in text processing andinformation retrieval fields.
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This paper is focus on some typical problems on machine learning, we construct the mathematical model from these problems and propose novel solutions to sovle these problems and apply these methods on real fields. The innovations of this paper are listed as follow:Propose a novel approach to optimize the kernel function for the kernel-based methods.
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The Vehicle Routing Problem (VRP) is a typical problem related to dispatching subject in logistics and also one of the most important and intensively studied combinatorial optimization problems. This thesis studies on the Capacitated Vehicle Routing Problem (CVRP). Based on the mathematical programming model, hysteretic optimization (HO) algorithm and an improved HO optimization algorithm are
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With the continuous development of communication technology and mobile technology, more and more new demands of access to information have been proposed, which have promoted the rapid development of mobile computing. While the large amounts of data generated in mobile computing also requires efficient mobile data management techniques as support. Nowadays mobile data management technologies
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With the rapid development of Internet, network information is largely enriched. Getting information becomes more and more convenient. However, with the growing scale of network resources, it becomes more difficult to locate valuable parts in the mass of information space, leading to the so-called information overload problem. To help internet users get information more efficiently
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With the rapid growth of the online electronic documents, the automated text categorization (or text classification, TC) becomes more important in the applications of information retrieval (IR), information filter and content management in the last decade, and has became forward research area of IR and machine learning (ML). As one of the most effective text
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With the rapid growth of the online electronic documents, the automated text categorization (or text classification, TC) becomes more important in the applications of information retrieval (IR), information filter and content management in the last decade, and has became forward research area of IR and machine learning (ML). As one of the most effective text
(Read More…)
With the rapid growth of the online electronic documents, the automated text categorization (or text classification, TC) becomes more important in the applications of information retrieval (IR), information filter and content management in the last decade, and has became forward research area of IR and machine learning (ML). As one of the most effective text
(Read More…)
With the rapid growth of the online electronic documents, the automated text categorization (or text classification, TC) becomes more important in the applications of information retrieval (IR), information filter and content management in the last decade, and has became forward research area of IR and machine learning (ML). As one of the most effective text
(Read More…)
With the rapid growth of the online electronic documents, the automated text categorization (or text classification, TC) becomes more important in the applications of information retrieval (IR), information filter and content management in the last decade, and has became forward research area of IR and machine learning (ML). As one of the most effective text
(Read More…)
