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The precision of the mutilsquint methods effects by several factors. This paper deduces the effects of these factors on the multisquint estimation accuracy. Expression of the estimation accuracy is deduced, which provides theoretical bases for the parameter choice and system design of the airborne interferometric SAR.
Numerous high performance machine learning algorithms are designed based on human learning, while human learning can also acquire elicitation from machine learning to investigate highly efficient learning process. This paper presents two iteratively error correcting based probabilistic neural networks (PNN) for connecting human learning and machine learning. C-PNN, G-PNN and G-PNN have been used to...
The class imbalance problem is of great importance to network intrusion detection data. Previous studies on feature selection always evaluate the performance of feature selection process according to the model performance and the size of selected feature subset, which neglect the stability of feature selection. We investigate the problem of the stability of feature selection and study in detail the...
This paper presents a handwritten recognition method using camera as human-computer interaction device (HCI) for Mandarin Phonetic Symbols I (MPS1). The method is based on a hidden conditional random field (HCRF) model, which is an extension of the conditional random field (CRF) framework that incorporates hidden variables. The main advantage of the proposed method is that it avoids limitations of...
There is an important issue that text summarization has to embody personal information need and provide indicative message to user. In this paper, a method of acquiring relevant documents based on user-feedback information and transductive inference SVM machine learning is presented. This method can well avoid the subjectivity of deciding relevant documents empirically. Furthermore, a sentence selection...
Probabilistic Neural Networks (PNN) learn quickly from examples in one pass and asymptotically achieve the Bayes-optimal decision boundaries. The major disadvantage of PNN is that it requires one node or neuron for each training sample. Various clustering techniques have been proposed to reduce this requirement to one node per cluster center. A new fast optimization of PNN is investigated here using...
With the complex function and high performance demands, the computer numerical control (CNC) system development faces great challenges. Transitional development methodology such as code-centric by hand, component based, model driven development (MDD) for CNC development were not suitable for nowadays CNC system development. A new development approach for CNC system development is necessary. Then aim...
There is an important issue that text summarization has to embody the personal information need and provide the indicative message for user. In this paper, a method of acquiring relevant documents based on user-feedback information and transductive inference SVM machine learning technology is presented. This method can well avoid subjectivity of deciding relevant documents empirically. To validate...
In this paper, the problem of text representation in the process of text mining is mainly discussed. The paper focuses on how to simplify the text model in advance of the construction of term-by-document matrix. By using association rules mining method to find the highly correlative words to form words-set, the vocabulary set is decreased effectively, which leads to the text modelpsilas simplification...
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