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IEEE Intelligent Systems and their Applications

Issue 2 • Date March-April 1998

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Displaying Results 1 - 14 of 14
  • Feature Transformation And Subset Selection

    Publication Year: 1998, Page(s):26 - 28
    Cited by:  Papers (18)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (557 KB)

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  • Feature space transformation using genetic algorithms

    Publication Year: 1998, Page(s):57 - 65
    Cited by:  Papers (26)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1680 KB)

    The authors have developed an autonomous system that transforms feature spaces to improve classification techniques. They apply their method to an eye-detection face recognition system, demonstrating substantially better classification rates than competing systems View full abstract»

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  • A relevancy filter for constructive induction

    Publication Year: 1998, Page(s):50 - 56
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (756 KB)

    Some machine-learning algorithms enable the learner to extend its vocabulary with new terms if, for a given a set of training examples, the learner's vocabulary is too restricted to solve the learning task. We propose a filter, called the Reduce algorithm, that selects potentially relevant terms from the set of constructed terms and eliminates terms that are irrelevant for the learning task. Restr... View full abstract»

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  • Feature subset selection using a genetic algorithm

    Publication Year: 1998, Page(s):44 - 49
    Cited by:  Papers (359)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (632 KB)

    Practical pattern-classification and knowledge-discovery problems require the selection of a subset of attributes or features to represent the patterns to be classified. The authors' approach uses a genetic algorithm to select such subsets, achieving multicriteria optimization in terms of generalization accuracy and costs associated with the features View full abstract»

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  • Is Al going mainstream as last? a look inside Microsoft Research

    Publication Year: 1998, Page(s):21 - 25
    Cited by:  Papers (1)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (836 KB)

    For many years, many in the Al and intelligent systems field have yearned to grab the brass ring of the mass market. Longing for broad deployment of AI into mainstream computing, some have even aspired to become the “Microsoft of the AI world.” However, after AI's 15 minutes of fame in the mid-80s, analysts grew tired of waiting for AI to hit the big time and tucked it into a “pr... View full abstract»

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  • Feature transformation by function decomposition

    Publication Year: 1998, Page(s):38 - 43
    Cited by:  Papers (15)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (560 KB)

    The function decomposition described can identify subsets of existing features and discover nongiven functions that map these subsets to a new feature, also, it can organize the existing and new features into a hierarchy. The authors demonstrate their Hierarchy Induction Tool (HINT) system on a housing loan-allocation application. Methods for switching circuit design often implicitly deal with fea... View full abstract»

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  • Developing multiple-agent systems is more than top-down vs. bottom-up

    Publication Year: 1998, Page(s):2 - 5
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (940 KB)

    While “top-down” and “bottom-up” have traditionally been useful terms for characterizing the systems development process, that process is changing. Today, organizations are increasingly developing multiple-agent systems, which require a development process that goes well beyond top-down and bottom-up. They now need choices between “inside-out” and “outside... View full abstract»

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  • Battling with GA-Joe

    Publication Year: 1998, Page(s):18 - 20
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (512 KB)

    For 20 years I've been advocating soft, bottom-up, massively parallel computing techniques and waging a war on top-down, serial, control-freak thinking. Yet, just lately, I've found myself becoming increasingly disdainful of genetic algorithms and other evolutionary software techniques. What's happening-have I become a traitor to my cause? I hope not; evolution undoubtedly works. I've used it many... View full abstract»

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  • Data-driven constructive induction

    Publication Year: 1998, Page(s):30 - 37
    Cited by:  Papers (16)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (964 KB)

    An inductive learning program's ability to find an accurate hypothesis can depend on the quality of the representation space. The authors have developed a data-driven constructive-induction method that uses multiple operators to improve the representation space. They have applied it to two real-world problems. Constructive-induction integrates ideas and methods previously considered separate: attr... View full abstract»

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  • Digital photography: a farewell to “cheese”

    Publication Year: 1998, Page(s):16 - 17
    Cited by:  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (328 KB)

    Although professional photographers have long been using digital acquisition, storage, and manipulation technology, it has been too costly for most personal use. But recent technological improvements have changed all that, and perhaps more important, the Web represents a large test market, willing and able to tolerate, at least initially, lower-quality digital images. The first channel for convert... View full abstract»

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  • Novel methods for subset selection with respect to problem knowledge

    Publication Year: 1998, Page(s):66 - 74
    Cited by:  Papers (31)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2532 KB)

    Choosing the best method for feature selection depends on the extent of a-priori knowledge of the problem. We present two basic approaches. One involves computationally effective floating-search methods; the other trades off the requirement for a-priori information for the requirement of sufficient data to represent the distributions involved. We've developed methods for statistical pattern recogn... View full abstract»

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  • Coordination and learning in multirobot systems

    Publication Year: 1998, Page(s):6 - 8
    Cited by:  Papers (17)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (448 KB)

    Finding methods for generating coherent, robust, useful and adaptive behavior in groups of autonomous robots is an increasingly active area of research. The incremental approach to robotics-first studying control and learning in a single robot-is not sufficient or even relevant (for some problems) to the multi-robot coordination and learning problem. Instead, the problem requires a general approac... View full abstract»

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  • Automatic revision of simulation models

    Publication Year: 1998, Page(s):75 - 81
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1640 KB)

    We have developed 007, an intelligent modeling assistant that assists a human modeler in three main revision tasks: (i) representation of the physical models, (ii) clarification of goals and formulation of explicit requirements, and (iii) modification of the physical model. 007 helps users to formulate explicit, testable requirements and to assess the current model. It then executes generic repair... View full abstract»

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  • Will domain-specific code synthesis become a silver bullet?

    Publication Year: 1998, Page(s):9 - 15
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1184 KB)

    In the commercial world, the biggest hurdles to delivering embedded intelligence in software are the software-engineering costs. We members of the intelligent-systems community have brilliant techniques available, and no end of applications is in sight, but the gap between intelligent-systems techniques and delivered software is too great. Standard programming languages and tools are too general-p... View full abstract»

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Aims & Scope

This Periodical ceased production in 2000. The current retitled publication is IEEE Intelligent Systems.

Full Aims & Scope