In this paper, a new method, called EM-EA, is put forward for learning Bayesian network structures from incomplete data. This method combines the EM algorithm with an evolutionary algorithm (EA) and transforms the inc...
详细信息
Currently there is no model available that would facilitate the task of finding similar time series based on partial information that interest users. We studied a novel query problem class that we termed micro similar...
详细信息
In this paper, an incremental method for learning Bayesian networks based on evolutionary computing, IEMA, is put forward. IEMA introduces the evolutionary algorithm and EM algorithm into the process of incremental le...
详细信息
Electro-magnetic field analysis applications based on the Method of Moments can be used to simulate the emissions for electrical devices such as a printed circuit board, a combination of circuit boards and wire connec...
详细信息
Design and implementation of a 2.5 Gb/s CMOS transmitter and a 1.3 Gb/s receiver for optical interconnections are presented. The transmitter accepts LVDS signals and converts it into optical signals. The receiver rece...
详细信息
A new method of Chinese grammar rules learning is put forward in this paper. The key point of this method is to use part-of-speech (POS), semantic and contextual information together in learning and expressing Chinese...
详细信息
A new method of Chinese grammar rules learning is put forward in this paper. The key point of this method is to use part-of-speech (POS), semantic and contextual information together in learning and expressing Chinese grammar rules. In this way, not only Context Free Grammar (CFG) rules can be learnt, but also the ambiguous structures in POS can be identified automatically. Furthermore, non-ambiguous semantic rules and forbidden rules can be produced from ambiguous rules by using semantic and contextual information. Experimental results demonstrate that the complexity of Chinese parsing is greatly reduced using the different rules learnt by our method.
An incremental method for learning Bayesian networks based on evolutionary computing, IEMA, is put forward. IEMA introduces the evolutionary algorithm and EM algorithm into the process of incremental learning; it can ...
详细信息
ISBN:
(纸本)0769511198
An incremental method for learning Bayesian networks based on evolutionary computing, IEMA, is put forward. IEMA introduces the evolutionary algorithm and EM algorithm into the process of incremental learning; it can avoid getting into local maxima, and also incrementally learn Bayesian networks with high accuracy in the presence of missing values and hidden variables. In addition, we improved the incremental learning process by N. Friedman and M. Goldschmidt (1997). The experimental results verified the validity of IEMA. In terms of storage cost, IEMA is comparable with the incremental learning method of Friedman et al, while it is more accurate.
The technique of full text retrieval for modern Chinese has been studied for a long time, but the same cannot be said for ancient Chinese books, especially in China. This paper tries to find the characteristics of Chi...
详细信息
The technique of full text retrieval for modern Chinese has been studied for a long time, but the same cannot be said for ancient Chinese books, especially in China. This paper tries to find the characteristics of Chinese ancient books which can be used for information retrieval. Statistical analysis was carried out on ancient Chinese books of over 35,000,000 words, including most of the works in common use. Based on these experiments some characteristics of ancient Chinese works are analyzed and compared with modern Chinese, including the basic unit of ancient works, the proportion of double character words, sentence length, and the field dependency of ancient Chinese works. We then give conclusions on ancient Chinese which is useful for information retrieval, especially when building inverted indexes and selecting the index unit. Depending on the conclusion, a full-text retrieval system for ancient Chinese books has been designed and realized. It shows that statistical learning and analyses are a great help in ancient Chinese information retrieval.
In this paper we describe our approach towards the second level digital techniques course suited for system-on-Chip (SoC) oriented curriculum. Due to enhanced utilization of synthesis techniques and higher level block...
详细信息
ISBN:
(纸本)0769511562
In this paper we describe our approach towards the second level digital techniques course suited for system-on-Chip (SoC) oriented curriculum. Due to enhanced utilization of synthesis techniques and higher level block-oriented design, new requirements for digital hardware design are set up. Our working hypothesis is that the course focus needs to be in a systematic working set based on general transformation and refinements are more important than a presentation of detailed and specific target solutions. Thus the student should master the methodology and understand the underlying principles, which will enable him or her, to utilize more effectively the advanced VHDL synthesis techniques, which are covered in the follow-up course.
暂无评论