This paper focuses on swarm intelligence based clustering algorithm. A clustering algorithm based on swarm intelligence is systematically proposed. It derived from a basic model interpreting ant colony organization of...
详细信息
This paper focuses on swarm intelligence based clustering algorithm. A clustering algorithm based on swarm intelligence is systematically proposed. It derived from a basic model interpreting ant colony organization of cemeteries. Some important concepts, such as swarm similarity, swarm similarity coefficient and probability conversion function are also proposed. A simplified probability conversion function is given for simplifying adaptation of parameters, meanwhile the importance of swarm similarity coefficient for the algorithm is analyzed. Experimental results show the good performance of the clustering algorithm.
With the increase of information on Internet, web mining has been the focus of data mining. In this paper, we put forward a semi-supervised learning strategy consisting of two stages. First stage labels the documents ...
详细信息
With the increase of information on Internet, web mining has been the focus of data mining. In this paper, we put forward a semi-supervised learning strategy consisting of two stages. First stage labels the documents that include latent class variables by using Bayes latent semantic model; at the second stage, based on the results from first stage, we label the documents excluding latent class variables with the naive Bayes models. Experimental results show that this algorithm has a good precision and recall rate.
Improves on the classical formula of calculating the term weight in the vector space model. Furthermore, an approach to multi-hierarchy text classification based on the vector space model is proposed. In this approach...
详细信息
Improves on the classical formula of calculating the term weight in the vector space model. Furthermore, an approach to multi-hierarchy text classification based on the vector space model is proposed. In this approach, all classes are organized as a tree according to some given hierarchical relations, and all the training documents in a class are combined into a class-document. In order to construct the class models, only the class-documents attached to the same node of the same layer are compared. When classifying the documents, one matching process is hierarchically performed from the root node to the leaf nodes until a corresponding subclass is found. The experiment and real systems indicate that the approach is of high classification precision and recall.
A clothoid spline is a planar G/sup 2/ curve with piecewise linear curvature. Its discrete analogon, planar discrete clothoid spline (PDCS for short) generated by non-linear subdivision, is also of high quality owing ...
详细信息
ISBN:
(纸本)0769510078
A clothoid spline is a planar G/sup 2/ curve with piecewise linear curvature. Its discrete analogon, planar discrete clothoid spline (PDCS for short) generated by non-linear subdivision, is also of high quality owing to piecewise linear curvature distribution. We extend the PDCS to 3D by introducing discrete curvature binormal vectors and a discrete Frenet frame. An algorithm similar to the planar case is developed for creation of 3D discrete clothoid splines, Experiments show that 3D discrete clothoid spline still retains high quality. This result makes it possible to construct discrete clothoid spline surfaces on open triangle meshes or curve nets of arbitrary topology.
Human being have capabilities to learn after birth. In analogy, it seems that the machine can be let its "brain" or mental development system to learn new tasks without the need for programming. In this pape...
详细信息
Human being have capabilities to learn after birth. In analogy, it seems that the machine can be let its "brain" or mental development system to learn new tasks without the need for programming. In this paper, we discuss an automated mental development in the multi agent environment (MAGE), including the framework, model and future work. The goal is that the agent can autonomously learn like a human and various knowledge can be memorised in a relevant form autonomously.
Knowledge processing is an important research field in AI.A lot of practices have proved that it is necessary for computer to really realize intelligence to has enough knowledge(i.e. knowledge base) and interconnectio...
详细信息
Knowledge processing is an important research field in AI.A lot of practices have proved that it is necessary for computer to really realize intelligence to has enough knowledge(i.e. knowledge base) and interconnections among ***,Johnson has advanced a famous three stages knowledge acquisition model,and means that knowledge is not isolated but mutally *** sufficiently show that it is necessary and feasible to research knowledge interconnection in knowledge *** the paper,we firstly introduced CR(concept-relation)-model and hierarchical concept graph(HCG),and then deeply research knowledge interconnection in National Knowledge Infrastructure(NKI).
Augmented reality is the merging of synthetic sensory information into a user's perception of a real environment. As one of the most important tasks in augmented scene modeling, terrain simplification research has...
详细信息
Augmented reality is the merging of synthetic sensory information into a user's perception of a real environment. As one of the most important tasks in augmented scene modeling, terrain simplification research has gained more and more attention. In this paper, we mainly focus on point selection problem in terrain simplification using triangulated irregular network. Based on the analysis and comparison of traditional importance measures for each input point, we put forward a new importance measure based on local entropy. The results demonstrate that the local entropy criterion has a better performance than any traditional methods. In addition, it can effectively conquer the 'short-sight' problem associated with the traditional methods.
A method of automatically generated to the space of the concept on text document is ***, cluster the text document through SOM and gain the concept of text for mark the classification,and then using the fuzzy clusteri...
详细信息
A method of automatically generated to the space of the concept on text document is ***, cluster the text document through SOM and gain the concept of text for mark the classification,and then using the fuzzy clustering to automatically generate and sum up the concept space for managing the text *** result can be used to cluster the Chinese document and generates an index of the cluster *** is an unsupervised-learning neural-network method that produces a mapping from text space into concept *** experiments and test results are shown that the space of concept does well in arranging the classification of the text and is convenient to information retrieval.
As a novel system description and problem solving method,agent organization can potentially decrease the difficulty of problem solving and reduce the complexity of agent *** research about agent organization are mostl...
详细信息
As a novel system description and problem solving method,agent organization can potentially decrease the difficulty of problem solving and reduce the complexity of agent *** research about agent organization are mostly being undertaken in agent organization model,organization structure,organization rules, organization formation and evolution,so it is necessary to extend the research to analyze mental states and their *** this paper,the mental states of commitments in agent organization are defined and analyzed including internal commitment,social commitment,Group commitment and organization *** semantics and properties of different commitments are given so that advances the works associated with agent organization.
Knowledge processing is an important research field in AI. A lot of research practice has proved that it is necessary for a computer to really realize intelligence to have enough knowledge (i.e. knowledge base) and in...
详细信息
Knowledge processing is an important research field in AI. A lot of research practice has proved that it is necessary for a computer to really realize intelligence to have enough knowledge (i.e. knowledge base) and interconnections among knowledge. Otherwise, Johnson has advanced a famous three stage knowledge acquisition model, where knowledge is not isolated but mutually relevant. These sufficiently show that it is necessary and feasible to research knowledge interconnection in knowledge processing. We firstly introduce the CR (concept-relation) model and hierarchical concept graph (HCG), and then research knowledge interconnection in the National Knowledge Infrastructure (NKI).
暂无评论