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For the functioning of American democracy, the Lobbying Disclosure Act (LDA), for the very first time, provides data to empirically research interest groups behaviors and their influence on congressional policymaking. One of the main research challenges is to automatically find the topic(s), by short & sparse text classification, in a large corpus of unorganized, semi-structured, and poorly...
By methods of Literature, two-way behavioral event interview and statistics, the article studies the components of competence of leisure sports club instructors and points out 21 items of competence components. Meanwhile, the components are also ascertained from the viewpoints of students through the interview of excellent instructors' students. The results show that 14 items o f the total are also...
Error-correcting output code (ECOC) is an effective approach to solve the problem of multiclass SVM. In this paper, a probabilistic approach that is based on ECOC is proposed. In the training stage, a coding scheme is predefined, and a special model is trained by samples. In the classification stage, besides the labels from SVM as usual, posterior probabilities of labels are also calculated. They...
With the development of rough set theory and it's strengths and weaknesses in the recognition field, the rule and recognition fusing method of noisy-robust rough set (NRRS) are proposed based on full normalized deposal, the non-uniform companding and simple dynamic clustering coding. The robustness of NRRS is improved by weighted reliability during training and recognition to dispose the accidental...
In this paper, we consider the multiclass classification problem based on independent set of binary classifiers. Each binary classifier represents the output of quantized projection of training data onto a randomly generated orthonormal basis vector thus producing a binary label. The ensemble of all binary labels forms an analogue of a coding matrix. The properties of such kind of matrices and their...
We consider multicast communications from a single source to multiple destinations over a network of erasure channels. Linear network coding maximizes the achievable (min-cut) rate, and a distributed code assignment can be realized by choosing codes randomly at the intermediate nodes. It is typically assumed that the coding information (combining coefficients) at each node is included in the packet...
This paper establishes a speaker-independent pronunciation recognition and assessment system with 673 words for mandarin Chinese under the background of a Chinese learning system framework. The recognition part is based on HTK using HMM (Hidden Markov Models) and improved in the aspect of acoustic model. Making use of the recognition results and the log-likelihood obtained from the Viterbi coding,...
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