Inductive Information Retrieval Using Parallel Distributed Computation.

Mozer, Michael C.

doi:10.21236/ada142712

Cited by 45 publications

(21 citation statements)

References 19 publications

(4 reference statements)

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“…Portanto, as idéias apresentadas por Mozer (1984) e por Belew (1989) sofrem algumas restrições quando inseridas no ambiente web. No entanto, existem outras formas de aplicação desenvolvidas especificamente para o ambiente web no qual tais restrições inexistem, como será exemplificado na próxima seção.…”

Section: Redes Neurais Na Recuperação De Informaçãounclassified

Redes neurais e sua aplicação em sistemas de recuperação de informação

Ferneda

2006

Ci. Inf.

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Section: Redes Neurais Na Recuperação De Informaçãounclassified

Redes neurais e sua aplicação em sistemas de recuperação de informação

Ferneda

2006

Ci. Inf.

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“…Mozer [9] used a two-level neural network with document and term nodes. He used inhibitory links between every pair of documents which were used in "winner take all" network to pick a single alternative in the PDP model.…”

Section: Neural Network and Information Retrieval (Ir)mentioning

confidence: 99%

Intelligent Search for Distributed Information Sources Using Heterogeneous Neural Networks

Yang

Zhang

2003

Web Technologies and Applications

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Abstact:As the number and diversity of distributed information sources on the Internet exponentially increase, various search services are developed to help the users to locate relevant information. But they still exist some drawbacks such as the difficulty of mathematically modeling retrieval process, the lack of adaptivity and the indiscrimination of search. This paper shows how heterogeneous neural networks can be used in the design of an intelligent distributed information retrieval (DIR) system. In particular, three typical neural network models -Kohoren's SOFM Network, Hopfield Network, and Feed Forward Network with Back Propagation algorithm are introduced to overcome the above drawbacks in current research of DIR by using their unique properties. This preliminary investigation suggests that Neural Networks are useful tools for intelligent search for distributed information sources.

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“…Retrieval by spreading activation [2,32] goes beyond inflexible matching algorithms to retrieve items associated with the query. The combination of these techniques yields a flexible retrieval mechanism that provides the means to show the user what components exist and how to access them in the absence of wellformed goals and plans.…”

Section: Codefindermentioning

confidence: 99%

“…Retrieval algorithm of Mozer [32] is based on McClelland and Rumelhart's [31] interactive activation model for word perception.…”

Section: The Inductive Informationmentioning

confidence: 99%

Retrieving software objects in an example-based programming environment

Henninger

1991

Proceedings of the 14th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

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Example-based programming is a form of software reuse in which existing code examples are modified to meet current task needs. Example-based programming systems that have enough exampIes to be useful present the problem of finding relevant examples. A prototype system named CODEFINDER, which explores issues of retrieving software objects relevant to the design task, is presented.CODEFINDER supports human-computer dialogue by providing the means to incrementally construct a query and by providing associative cues that are compatible with human memory retrieval principles.

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Inductive Information Retrieval Using Parallel Distributed Computation.

Cited by 45 publications

References 19 publications

Redes neurais e sua aplicação em sistemas de recuperação de informação

Redes neurais e sua aplicação em sistemas de recuperação de informação

Intelligent Search for Distributed Information Sources Using Heterogeneous Neural Networks

Retrieving software objects in an example-based programming environment

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