one-sample problem 中文意思是什麼
one-sample problem
解釋
單樣本問題-
After every modular e - hmm is trained, the modular e - hmm parameters are combined into one e - hmm to represent one person. the advantage of the modular in training method is that the e - hmm parameters re - estimating process has good ability of adaptation : when new sample sets are added to the training sample, the information of the new sample sets can be conveniently combined into the e - hmm, and the computational work is reduced. besides, the modular training method provides an answer for the problem of choice initial e - hmm parameters
本方法的優點是使e - hmm參數估計過程具有良好的靈活性和易擴充性：對新增加的訓練樣本，產生的最後模型既保留了已經訓練過的信息又能反映新增樣本的信息，同時減少了計算量，而且可以把訓練樣本和模型參數分開，在模型庫中只保留訓練好的模型參數值和有關的中間值，不必保留訓練樣本。 -
Then one against one classification is performed with svms. so the muti - class problem can be solved, the accuracy of classification guaranteed, and the reduction of the data carried out. in particular, the approach to classification based on the equivalence classes of the main attribute is explicit conceptually, easy to understand and implement. furthermore, the reduction of the sample size is distinct
這樣，既解決了多值分類問題，提高了分類精度，又實現了數據壓縮。其中利用主屬性中不可分辨關系（或相近關系）預分類的方法，概念清晰，易於理解、操作，數據壓縮量大。
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