The generalized gamma distribution offers a highly flexible family of models for lifetime data and includes a considerable number of distributions as special cases. This work deals with the use of the particle swarm o...
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ISBN:
(纸本)9783540896180
The generalized gamma distribution offers a highly flexible family of models for lifetime data and includes a considerable number of distributions as special cases. This work deals with the use of the particle swarm optimization (PSO) algorithm in the maximum likelihood estimation of distributions of the generalized gamma family (GG-family) based on data with censored observations. We also discuss a procedure for testing whether a distribution that belong to GG-family is appropriate for lifetime data using the generalized likelihood ratio test principle. Finally, we present two illustrative applications using real data sets. For each data set, we use the PSO algorithm to fit several distributions of the GG-family simultaneously. Then, we test the appropriateness of each fitted model and select the most appropriate one using the Bayesian information criterion or the Akaike information criterion.
For developing image navigation systems, we need tools to realize the semantic relationship between user and database. In this paper we develop algorithms that automatically generate semantic rules that identify image...
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ISBN:
(纸本)9783642032011
For developing image navigation systems, we need tools to realize the semantic relationship between user and database. In this paper we develop algorithms that automatically generate semantic rules that identify image categories and introduce the cognitive dimension in the retrieval process. The semantic rules are represented in Prolog and can be shared and modified depending on the updates in the respective domain.
The multi-agent resource allocation problem is the negotiation of a set of resources among a population of agents, in order to maximize a social welfare function. The purpose of this study is the definition of the age...
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ISBN:
(纸本)9783642004865
The multi-agent resource allocation problem is the negotiation of a set of resources among a population of agents, in order to maximize a social welfare function. The purpose of this study is the definition of the agent behavior which leads, if possible, to an optimal resource allocation at the end of the negotiation process as an emergent phenomenon. This process can be based on any kind of contact networks. Our study focuses on a specific notion: the Nash product, which has not the drawbacks of the other widely used notions. However. centralized approaches cannot handle large instances, since the social function is not linear. After a study of different bilateral transaction types, We underline the most efficient negotiation policy in order to solve the multi-agent resource allocation problem with the Nash product and provide an adaptive, scalable and anytime algorithm.
The work describes an application of the speech processing expert system into the electronic system design flow. The main idea of the system is presented. Some aspects concerning the proposed speech processing methodo...
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ISBN:
(纸本)9783642032011
The work describes an application of the speech processing expert system into the electronic system design flow. The main idea of the system is presented. Some aspects concerning the proposed speech processing methodology bound with characteristic properties of Polish language are emphasized. The idea of dialog system menus is discussed. The inference engine based on AI techniques supporting natural language processing is proposed. The entire expert system architecture is introduced. Implementation and examples are discussed.
In order to ensure simulations reproducibility, particular attention must be payed to the specification of its model. This requires adequate design methodologies, that enlightens modelers on possible implementation am...
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ISBN:
(纸本)9783642004865
In order to ensure simulations reproducibility, particular attention must be payed to the specification of its model. This requires adequate design methodologies, that enlightens modelers on possible implementation ambiguities - and biases - their model might have. Yet, because of not adapted knowledge representation. current reactive simulation design methodologies lack specifications concerning interaction selection, especially in stochastic behaviors. Thanks to the interaction-oriented methodology IODA - which knowledge representation is fit to handle such problems - this paper provides simple guidelines to describe interaction selection. These guidelines use a subsumption like-structure, and focus the design of interaction selection on two points : how the selection takes place - for instance first select the interaction, and then select the partner of the interaction, or first a partner and then an interaction - and the nature of each selection - for instance at random, or with a utility function. This provides a valuable communication support between modelers and computer scientists, that makes the interpretation of the model and its implementation clearer, and the identification of ambiguities and biases easier.
The paper presents an original enterprise ontology oriented to the diagnosis of an economic situation. Three categories form the ontology: an agent argumentation (A), an expert assessment (E) and explanation acts (AE)...
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ISBN:
(纸本)9783642032011
The paper presents an original enterprise ontology oriented to the diagnosis of an economic situation. Three categories form the ontology: an agent argumentation (A), an expert assessment (E) and explanation acts (AE). An evaluation model defined in the paper consists of definitions of the set of images of enterprise assessments Omega, the assessment phi, agent argumentation for the potential range ARG(P), agent argumentation for the risk range ARG(R), and the generalized score trajectory Tgeneral. This model creates a basis for construction of the A-E-AE ontology;related taxonomy diagrams are presented.
A Multi-objective optimization methodology has been applied in the optimization of polymer injection molding process. This allowed the optimization of the operating conditions of the process from mold flow simulations...
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ISBN:
(纸本)9783540896180
A Multi-objective optimization methodology has been applied in the optimization of polymer injection molding process. This allowed the optimization of the operating conditions of the process from mold flow simulations, taking into consideration the existence of 5 criteria simultaneously, such as temperature difference on the molding at the end of filling, the maximum pressure, the pressure work, the volumetric shrinkage and the cycle time. The results produced shown that the proposed methodology is an efficient tool to be used in the optimization of this process.
The paper is devoted to the application of the extensions of information systems to solve prediction problems. An information system (in the Pawlak's sense [4]) can describe the states of processes observed in a g...
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ISBN:
(纸本)9783642032011
The paper is devoted to the application of the extensions of information systems to solve prediction problems. An information system (in the Pawlak's sense [4]) can describe the states of processes observed in a given system of concurrent processes. If we extend a given information system by adding some new states which have not been observed yet, then we are interested in the degrees of consistency (called also consistency factors) of added states with the knowledge of state coexistence included in the original information system. State coexistence is expressed by a proper kind of rules extracted from the information system. Such information can be helpful in predicting the possibility of appearing given states in the future in the examined system. The consistency factor computed can be between 0 and 1, 0 for the full inconsistency and 1 for the full consistency. Consistency-based prediction is compared with prediction based on a simple similarity measure. The experiments show that the states from extensions of original information systems, having greater values of consistency factors, appear significantly more often in the future. Consistency-based prediction seems to be a promising alternative for similarity-based prediction.
Not only that the use of different services is faster and easier in a voice-based user interface, but it also has benefits for people with physical impairments. This paper investigates the possibilities that minority ...
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ISBN:
(纸本)9783642032011
Not only that the use of different services is faster and easier in a voice-based user interface, but it also has benefits for people with physical impairments. This paper investigates the possibilities that minority languages have in developing spoken dialogue applications. We present our future platform and discuss difficulties that we as Croatian language speakers face in the planning and development phases. Furthermore, we set forth our Dialogue Manager Strategy, discuss properties which affect it and create weather-forecast dialogues. We have opted for VoiceXML as a dialogue modeling language since it is a language for creating voice user interfaces which simplifies application development, especially for minority languages.
Visualization techniques and tools allow a user to make sense of enormous amount of data. Querying capabilities and direct manipulation techniques enable a user to filter out irrelevant data and focus only on informat...
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ISBN:
(纸本)9783642032011
Visualization techniques and tools allow a user to make sense of enormous amount of data. Querying capabilities and direct manipulation techniques enable a user to filter out irrelevant data and focus only on information that could yield to a conclusion. Effective visualization techniques should enable a user or an analyst to get to the conclusion in a short time and with minimal training. We illustrate, via three different research projects, how to visualize two parameters where a user can get to a conclusion in a very short amount of time with minimal or no training. The two parameters could be the relation of documents and their importance, or spatial events and their timing, or even the ration between carbon dioxide emission levels and number of trees per country. To accomplish this, we visualize the data in a three dimensional environment on a regular computer display. For data manipulation, we use techniques familiar to novice computer users.
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