Binary Classification of Multigranulation Searching Algorithm Based on Probabilistic Decision
نویسندگان
چکیده
منابع مشابه
Probabilistic Word Classification Based on Context-Sensitive Binary Tree Method
Corpus-based statistical-oriented Chinese word classification can be regarded as a fundamental step for automatic or non-automatic, monolingual natural processing system. Word classification can solve the problems of data sparseness and have far fewer parameters. So far, much r:,la~v~ work about word classification has been done. All the work is based on some similarity metrics. We use average ...
متن کاملA Multilevel Algorithm based on Binary Decision Diagrams
In this paper, a new variant of the multilevel algorithm for computing the steady-state solution of a continuous-time Markov chain is proposed. The method is integrated into a symbolic framework, where the CTMC is represented in a compact way using multi-terminal binary decision diagrams (MTBDD). It is shown how to represent the original CTMC and several aggregated chains within the same decisi...
متن کاملMultigranulation decision-theoretic rough sets
Article history: Available online 23 March 2013
متن کاملA Packet Classification Algorithm based on Improved Decision Tree
Since the packet classification algorithm has its great importance and extensive applications, lots of scholars have done tons of researches on the algorithm. This paper presents a new method of a packet classification algorithm based on improved decision tree. In the proposed algorithm, multi-point segmentation and redundancy deletion are adopted to compress the depth of decision tree. A new d...
متن کاملProbabilistic Decision-based Neural Networks for Speech Pattern Classification
Probabilistic decision-based neural networks (PDBNNs) were originally proposed by Lin, Kung and Lin for human face recognition. Although high recognition accuracy has been achieved, not many illustrations were given to highlight the characteristic of the decision boundaries. This paper aims at providing detailed illustrations to compare the decision boundaries of PDBNNs with that of Gaussian mi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Mathematical Problems in Engineering
سال: 2016
ISSN: 1024-123X,1563-5147
DOI: 10.1155/2016/9329812