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7th International Conference on Hybrid Intelligent Systems (HIS 2007)

Date 17-19 Sept. 2007

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Displaying Results 1 - 25 of 78
  • 7th International Conference on Hybrid Intelligent Systems - Cover

    Publication Year: 2007, Page(s): c1
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  • 7th International Conference on Hybrid Intelligent Systems - Title

    Publication Year: 2007, Page(s):i - iii
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  • 7th International Conference on Hybrid Intelligent Systems - Copyright

    Publication Year: 2007, Page(s): iv
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  • 7th International Conference on Hybrid Intelligent Systems - Table of contents

    Publication Year: 2007, Page(s):v - x
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  • Welcome from HIS 2007 Organizers

    Publication Year: 2007, Page(s): xi
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  • Conference Committees

    Publication Year: 2007, Page(s): xiii
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  • Program Committees

    Publication Year: 2007, Page(s): xiv
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  • list-reviewer

    Publication Year: 2007, Page(s): xiv
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  • Advanced Learning of SOR Network Employing Evaluation-based Topology Representing Network

    Publication Year: 2007, Page(s): 1
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (121 KB) | HTML iconHTML

    Learning systems such as multi-layer feed-forward neural networks, wavelet networks and so on need appropriate learning data (input data and teaching output data). These methods are not so useful in case when we cannot get the appropriate learning data. Even in this case, it is not so difficult to evaluate the system output for arbitrarily applied input. The learning data of input-output pairs wit... View full abstract»

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  • Pareto-based Multi-Objective Machine Learning

    Publication Year: 2007, Page(s): 2
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (112 KB)

    Machine learning is inherently a multi-objective task. Traditionally, however, either only one of the objectives is adopted as the cost function or multiple objectives are aggregated to a scalar cost function. This can mainly attributed to the fact that most conventional learning algorithms can only deal with a scalar cost function. Over the last decade, efforts on solving machine learning problem... View full abstract»

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  • Evolving Connectionist and Hybrid Systems: Methods, Tools, Applications

    Publication Year: 2007, Page(s): 3
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (160 KB) | HTML iconHTML

    Evolving Connectionist Systems (ECOS) are neural network systems that develop their structure, functionality and internal representation through continuous learning from data and interaction with the environment. ECOS can also evolve through generations of populations using evolutionary computation, but the focus of the presentation is on: (1) Adaptive learning and improvement of each individual m... View full abstract»

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  • Preference Articulation in Evolutionary Multiobjective Optimisation

    Publication Year: 2007, Page(s): 4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (115 KB) | HTML iconHTML

    Real-world optimisation problems often involve a number of conflicting criteria, or objectives. Such problems usually admit multiple Pareto-optimal solutions, i.e. solutions, which cannot be improved upon in all objectives simultaneously. In practice, however, acceptable solutions must perform sufficiently well with respect to all objectives, which means that not all Pareto-optimal solutions may b... View full abstract»

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  • Visual Object Class Recognition combining Generative and Discriminative Methods

    Publication Year: 2007, Page(s): 5
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (114 KB)

    Summary form only given. We describe various approaches capable of simultaneous recognition and localization of multiple object classes using a combination of generative and discriminative methods. A first approach uses a novel hierarchical representation allows to represent individual images as well as various objects classes in a single similarity invariant model. The recognition method is based... View full abstract»

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  • Organic Computing for Video Analysis

    Publication Year: 2007, Page(s):6 - 11
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (578 KB) | HTML iconHTML

    The current interest in organic computing is also sustained by a notion of "organic" which relates to the user rather than the developer. In that aspect, organic computing requires that the interface between the IT system and the user be organic, intelligible, and friendly. This again imposes constraints on the user interfaces. On an abstract level, a recognition systems requires a data format for... View full abstract»

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  • Combining Gradient-Based With Evolutionary Online Learning: An Introduction to Learning Classifier Systems

    Publication Year: 2007, Page(s):12 - 17
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (277 KB) | HTML iconHTML

    Learning classifier systems (LCSs), introduced by John H. Holland in the 1970s, are rule-based evolutionary online learning systems that combine gradient-based rule evaluation with evolutionary-based rule structuring techniques. Since the introduction of the accuracy-based XCS classifier system by Stewart W. Wilson in 1995, LCSs showed to be flexible, online learning methods that are applicable to... View full abstract»

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  • Organization-Oriented Chemical Programming

    Publication Year: 2007, Page(s):18 - 23
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (155 KB) | HTML iconHTML

    Chemical information processing posseses a variety of valuable properties, such as, robustness, concurrency, fault- tolerance, and evolvability. However, it is difficult to predict and program a chemical system, because the computation emerges as a global phenomenon from microscopic reactions. Here, we will present design principles for chemical programs. We focus on programs that should compute a... View full abstract»

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  • Ant Colony Optimization: Introduction and Hybridizations

    Publication Year: 2007, Page(s):24 - 29
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (186 KB) | HTML iconHTML

    This paper contains complimentary material to the tutorial "ant colony optimization: introduction and hybridizations" given by the author at HIS 2007, Kaiserslautern, Germany. First, ant colony optimization is shortly introduced. Then, successful recent hybridizations of ant colony optimization algorithms with other techniques for optimization are reviewed. View full abstract»

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  • An FPGA-based CollisionWarning System Using Hybrid Approach

    Publication Year: 2007, Page(s):30 - 35
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (576 KB) | HTML iconHTML

    In this paper, we propose an FPGA-based collision warning system for advanced automobile driver assistance systems or autonomous moving robots. The system consists of three function blocks: coarse edge detection using a resistive-fuse network, moving-object detection inspired by neuronal propagation in the hippocampus, and danger evaluation and collision warning using fuzzy inference. The first tw... View full abstract»

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  • A Novel Hybrid Training Method for Hopfield Neural Networks Applied to Routing in Communications Networks

    Publication Year: 2007, Page(s):36 - 41
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (276 KB) | HTML iconHTML

    Efficient routing algorithms are very important for the operation of communication networks, including the Internet. This article proposes a novel hybrid intelligent method for routing which combines Hopfield neural networks (HNN) and simulated annealing (SA). The proposed method introduces a modified version of the discrete-time equation used by Bastos-Filho et al [1]. The novel version of the eq... View full abstract»

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  • On the Use of the SVM Approach in Analyzing an Electronic Nose

    Publication Year: 2007, Page(s):42 - 46
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (160 KB) | HTML iconHTML

    We present an Electronic Nose (ENose) which is aimed both at identifying the type of gas and at estimating its concentration. Our system contains 8 sensors, 5 of them being gas sensors (of the class TGS from FIGARO USA, INC., whose sensing element is a tin dioxide (SnOz) semiconductor), the remaining being a temperature sensor (LM35 from National Semiconductor Corporation), a humidity sensor (HIH-... View full abstract»

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  • A Hybrid Content-Collaborative Recommender System Integrated into an Electronic Performance Support System

    Publication Year: 2007, Page(s):47 - 52
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (242 KB) | HTML iconHTML

    An electronic performance support system (EPSS) introduces challenges on contextualized and personalized information delivery. Recommender systems aim at delivering and suggesting relevant information according to users preferences, thus EPSSs could take advantage of the recommendation algorithms that have the effect of guiding users in a large space of possible options. The JUMP project aims at i... View full abstract»

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  • Comparing Several Evaluation Functions in the Evolutionary Design of Multiclass Support Vector Machines

    Publication Year: 2007, Page(s):53 - 58
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (161 KB) | HTML iconHTML

    Support Vector Machines were originally designed to solve two-class classification problems. When they are applied to multiclass classification problems, the original problem is usually decomposed into multiple binary sub- problems. Afterwards, individual classifiers are induced to solve each of these binary problems. To obtain the final multiclass prediction, the outputs of these binary classifie... View full abstract»

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  • Artificial Immune System with ART Memory Hibridization

    Publication Year: 2007, Page(s):59 - 64
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (419 KB) | HTML iconHTML

    The present work proposes the architecture Clonart (Clonal Adaptive Resonance Theory) that employs many different techniques like intelligent operators, clonal selection principle, local search, memory antibodies and ART clusterization in order to increase the performance of the algorithm. The approach uses a mechanism similar to the ART 1 network for storing a population of memory antibodies that... View full abstract»

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  • Evaluating the Performance of a Biclustering Algorithm Applied to Collaborative Filtering - A Comparative Analysis

    Publication Year: 2007, Page(s):65 - 70
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (160 KB) | HTML iconHTML

    Collaborative filtering (CF) is a method to perform automated suggestions for a user based on the opinion of other users with similar interest. Most of the CF algorithms do not take into account the existent duality between users and items, considering only the similarities between users or only the similarities between items. The authors have proposed in a previous work a bio-inspired methodology... View full abstract»

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  • Computing Sharp Lower and Upper Bounds for the Minimum Latency Problem

    Publication Year: 2007, Page(s):71 - 77
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (311 KB) | HTML iconHTML

    The minimum latency problem, also known as traveling repairman problem, the Deliveryman problem and the traveling salesman problem with cumulative costs is a variant of the Traveling Salesman Problem in which a repairman is required to visit customers located on each node of a graph in such a way that the overall waiting times of these customers is minimized. In the present work, an algorithm base... View full abstract»

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