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    Chapter and Conference Paper

    Associating Items with Scenes Identified in Social Q&A Data

    We discuss the problem of discovering associations between typical situations (scenes) in our daily lives and their characteristic items, which refer to anything from real objects to imaginary beings or abstra...

    Shin-ya Sato, Masami Takahashi in Web Information Systems Engineering – WISE… (2013)

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    Chapter and Conference Paper

    Generating Extensional Definitions of Concepts from Ostensive Definitions by Using Web

    We present GEO (Generating an Extensional definition from an Ostensive definition), a method to exhaustively gather items falling under an ostensively defined concept from the Web. By utilizing structural info...

    Shin-ya Sato, Kensuke Fukuda in Web Information Systems Engineering – WISE… (2007)

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    Chapter

    The Impact of Network Model on Performance of Load-balancing

    Kensuke Fukuda, Toshio Hirotsu in Emergent Intelligence of Networked Agents (2007)

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    Chapter

    Improvements in Performance of Large-Scale Multi-Agent Systems Based on the Adaptive/ Non-Adaptive Agent Selection

    Toshiharu Sugawara, Kensuke Fukuda in Emergent Intelligence of Networked Agents (2007)

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    Chapter and Conference Paper

    Adaptive Agent Selection in Large-Scale Multi-Agent Systems

    An agent in a multi-agent system (MAS) has to select appropriate agents to assign tasks. Unfortunately no agent in an open environment can identify the states of all agents, so this selection must be done acco...

    Toshiharu Sugawara, Kensuke Fukuda in PRICAI 2006: Trends in Artificial Intellig… (2006)

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    Chapter and Conference Paper

    Evaluation of Using Human Relationships on the Web as Information Navigation Paths

    We investigated the use of human relationships on the web for information navigation paths. We propose a new information navigation method that uses personal names. It automatically extracts the human relation...

    Kazuhiro Kazama, Shin-ya Sato, Kensuke Fukuda in New Frontiers in Artificial Intelligence (2006)

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    Chapter and Conference Paper

    Detecting Search Engine Spam from a Trackback Network in Blogspace

    We aim to develop a technique to detect search engine optimization (SEO) spam websites. Specifically, we propose four methods for extracting the SEO spam entries from a given trackback network in blogspace tha...

    Masahiro Kimura, Kazumi Saito in Knowledge-Based Intelligent Information an… (2005)