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Intelligent Systems, IEEE

Issue 6 • Date Nov.-Dec. 2005

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Displaying Results 1 - 19 of 19
  • [Front cover]

    Publication Year: 2005 , Page(s): c1
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    Freely Available from IEEE
  • Table of contents

    Publication Year: 2005 , Page(s): c2
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    Freely Available from IEEE
  • I'm Sorry, Dave...

    Publication Year: 2005 , Page(s): 2 - 4
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (336 KB) |  | HTML iconHTML  

    A comparison of the movies 2001: A Space Odyssey and Stealth help illustrate how far AI has come and how far it still has to go. View full abstract»

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  • Letters

    Publication Year: 2005 , Page(s): 5
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    Freely Available from IEEE
  • Found in translation [process specification language]

    Publication Year: 2005 , Page(s): 6 - 8
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (672 KB) |  | HTML iconHTML  

    The new international standard ISO 18629 is a process specification language (PSL) that provides clear and concise definitions of information going from one system to another. Leaning on the other end of the balance is the Web Ontology Language (OWL), designed for use on the semantic Web, which provides more computability than precise definitions. By labeling information on the Internet, OWL lets ... View full abstract»

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  • Evolutionary computing: the rise of electronic breeding

    Publication Year: 2005 , Page(s): 12 - 15
    Cited by:  Papers (3)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (824 KB) |  | HTML iconHTML  

    GAs and their relations, which fall under the umbrella term evolutionary computing, are being harnessed to optimize designs of all sorts. GAs mimics the mechanisms of biological evolution. Populations of individuals evolve by means of reproduction, inheritance, mutation, natural selection, and recombination or crossover (two organisms swap a portion of their genetic code). The result is computatio... View full abstract»

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  • Guest Editors' Introduction: Data Mining in Bioinformatics

    Publication Year: 2005 , Page(s): 16 - 18
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1736 KB) |  | HTML iconHTML  

    This special issue aims to bridge the gap between bioinformatics and data mining by presenting research integrating the two. Data mining has the potential to provide the necessary tools for better understanding of gene expression, drug design, and other emerging problems in genomics and proteomics. View full abstract»

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  • Choosing the optimal hidden Markov model for secondary-structure prediction

    Publication Year: 2005 , Page(s): 19 - 25
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (208 KB) |  | HTML iconHTML  

    Proteins are major constituents of living cells, forming many cellular components and most enzymes. So, knowledge of 3D protein structures is essential to understand biological mechanisms. Researchers often use neural networks to predict secondary structure in proteins, but the networks can be hard to interpret. This alternative method uses an optimal and interpretable hidden Markov model to class... View full abstract»

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  • Finding protein domain boundaries: an automated, non-homology-based method

    Publication Year: 2005 , Page(s): 26 - 33
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1568 KB) |  | HTML iconHTML  

    A sequence-based methodology identifies the boundaries of structural domains in proteins. The method doesn't depend on knowledge of a protein's structure or on sequence homologs. We developed a Bayesian approach based on the statistical analysis of word content used in other fields. Our method first catalogs "pattern" frequencies - occurrences of groups of amino acids - in a nonredundant database ... View full abstract»

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  • Building innovative representations of DNA sequence facilitate gene finding

    Publication Year: 2005 , Page(s): 34 - 39
    Cited by:  Papers (3)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (424 KB) |  | HTML iconHTML  

    Indices that can discriminate DNA sequences' coding and noncoding regions are crucial elements of a successful gene identification algorithm. Multiscale analysis of various species' genome sequences facilitates construction of novel codon indices. We've developed two novel DNA codon indices, one based on recurrence time and one based on fractal deviation. Because both work well on short DNA sequen... View full abstract»

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  • MicroCluster: efficient deterministic biclustering of microarray data

    Publication Year: 2005 , Page(s): 40 - 49
    Cited by:  Papers (10)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (408 KB) |  | HTML iconHTML  

    MicroCluster can mine different types of arbitrarily positioned and overlapping clusters of genetic data to find interesting patterns. Our approach has four key features. First, we mine only the maximal biclusters satisfying certain homogeneity criteria. Second, the clusters can be arbitrarily positioned anywhere in the input data matrix, and they can have arbitrary overlapping regions. Third, Mic... View full abstract»

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  • Using semantic dependencies to mine depressive symptoms from consultation records

    Publication Year: 2005 , Page(s): 50 - 58
    Cited by:  Papers (6)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (232 KB) |  | HTML iconHTML  

    With the rapid growth of depressive disorders, many psychiatric Web sites have developed various psychiatric screening services for mental health care and crisis prevention. We propose a framework for mining depressive symptoms and their relations from consultation records. The records contain many kinds of depressive symptoms, such as depressed mood, suicide ideas, anxiety, sleep disturbances, an... View full abstract»

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  • TEXTAL: AI-based structural determination for X-ray protein crystallography

    Publication Year: 2005 , Page(s): 59 - 63
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1472 KB) |  | HTML iconHTML  

    TEXTAL is a successfully deployed system for automated model-building in protein X-ray crystallography. It represents a novel solution to an important, complex real-world, problem using various AI and pattern recognition algorithms. TEXTAL takes a model-building approach based on real-space density pattern recognition, similar to how a human crystallographer would work. TEXTAL first tries to predi... View full abstract»

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  • Evolving feature selection

    Publication Year: 2005 , Page(s): 64 - 76
    Cited by:  Papers (30)  |  Patents (2)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (328 KB) |  | HTML iconHTML  

    Data preprocessing is an indispensable step in effective data analysis. It prepares data for data mining and machine learning, which aim to turn data into business intelligence or knowledge. Feature selection is a preprocessing technique commonly used on high-dimensional data. Feature selection studies how to select a subset or list of attributes or variables that are used to construct models desc... View full abstract»

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  • Customized delivery of e-government Web services

    Publication Year: 2005 , Page(s): 77 - 84
    Cited by:  Papers (13)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (976 KB) |  | HTML iconHTML  

    The Web is revolutionizing the way citizens interact with businesses and government agencies. Almost all key functions of modern society are being reshaped to exploit opportunities the Web opens. As part of an effort to improve government-citizen interactions, government agencies are providing a wide spectrum of online services. Virginia Tech is collaborating with the Virginia Department for the A... View full abstract»

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  • WINES: Wired and Wireless Intelligent Networked Systems

    Publication Year: 2005 , Page(s): 85 - 87
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (656 KB) |  | HTML iconHTML  

    The UK's Engineering and Physical Sciences Research Council launched its Wired and Wireless Intelligent Networked Systems program in 2004 to address research challenges in creating massive-scale ubiquitous and pervasive computing environments. WINES assumes an intelligent, pervasive information and communications technology environment would eventually emerge in which users experience a rich varie... View full abstract»

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  • 2005 Annual Index - Volume 20

    Publication Year: 2005 , Page(s): 88 - 94
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  • Calendar/Call for Papers

    Publication Year: 2005 , Page(s): 95 - 96
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    Freely Available from IEEE
  • [Back cover]

    Publication Year: 2005 , Page(s): c4
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    Freely Available from IEEE

Aims & Scope

IEEE Intelligent Systems serves users, managers, developers, researchers, and purchasers who are interested in intelligent systems and artificial intelligence, with particular emphasis on applications.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
Daniel Zeng
University of Arizona