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    NIPS
    1997
    113views Information Technology» more  NIPS 1997»
    Intrusion Detection with Neural Networks
    13 years 6 months ago
    Intrusion Detection with Neural Networks
    Download  nn.cs.utexas.edu
    With the rapid expansion of computer networks during the past few years, security has become a crucial issue for modern computer systems. A good way to detect illegitimate use is ...
    Jake Ryan, Meng-Jang Lin, Risto Miikkulainen
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    NIPS
    1997
    91views Information Technology» more  NIPS 1997»
    A Neural Network Based Head Tracking System
    13 years 6 months ago
    A Neural Network Based Head Tracking System
    Download  hebb.mit.edu
    We have constructed an inexpensive, video-based, motorized tracking system that learns to track a head. It uses real time graphical user inputs or an auxiliary infrared detector a...
    Daniel D. Lee, H. Sebastian Seung
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    IJCAI
    1997
    115views Artificial Intelligence» more  IJCAI 1997»
    An Effective Learning Method for Max-Min Neural Networks
    13 years 6 months ago
    An Effective Learning Method for Max-Min Neural Networks
    Download  dli.iiit.ac.in
    Max and min operations have interesting properties that facilitate the exchange of information between the symbolic and real-valued domains. As such, neural networks that employ m...
    Loo-Nin Teow, Kia-Fock Loe
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    WSC
    1998
    125views Modeling And Simulation» more  WSC 1998»
    Integrating Neural Networks with Special Purpose Simulation
    13 years 6 months ago
    Integrating Neural Networks with Special Purpose Simulation
    Download  www.informs-sim.org
    Traditional methods of dealing with variability in simulation input data are mainly stochastic. This is most often the best method to use if the factors affecting the variation or...
    Dany Hajjar, Simaan M. AbouRizk, Kevin Mather
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    IJCAI
    1997
    133views Artificial Intelligence» more  IJCAI 1997»
    Evolvable Hardware for Generalized Neural Networks
    13 years 6 months ago
    Evolvable Hardware for Generalized Neural Networks
    Download  dli.iiit.ac.in
    This paper describes an evolvable hardware (EHW) system for generalized neural network learning. We have developed an ASIC VLSI chip, which is a building block to configure a scal...
    Masahiro Murakawa, Shuji Yoshizawa, Isamu Kajitani...
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    NC
    1998
    170views Neural Networks» more  NC 1998»
    Neural Network Supported Adaptation in Case-based Reasoning
    13 years 6 months ago
    Neural Network Supported Adaptation in Case-based Reasoning
    Download  www.sftw.umac.mo
    : This paper describes a system, which integrates Neural Network (NN) models into adaptation circle of Case-based Reasoning (CBR) system. Neural Network supported adaptation can pr...
    Yain-Whar Si, Otakar Babka
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    NC
    1998
    101views Neural Networks» more  NC 1998»
    Evolutionary Optimized Tensor Product Bernstein Polynomials versus Backpropagation Networks
    13 years 6 months ago
    Evolutionary Optimized Tensor Product Bernstein Polynomials versus Backpropagation Networks
    Download  www.ads.tuwien.ac.at
    In this paper a new approach for approximation problems involving only few input and output parameters is presented and compared to traditional Backpropagation Neural Networks (BP...
    Günther R. Raidl, Gabriele Kodydek
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    NC
    1998
    118views Neural Networks» more  NC 1998»
    BRAINN: A Connectionist Approach to Symbolic Reasoning
    13 years 6 months ago
    BRAINN: A Connectionist Approach to Symbolic Reasoning
    Download  dml.cs.byu.edu
    Hybrid connectionist symbolic systems have been the subject of much recent research in AI. By focusing on the implementation of high-level human cognitive processes (e.g., rule-ba...
    Rafal Bogacz, Christophe G. Giraud-Carrier
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    ESANN
    2000
    97views Neural Networks» more  ESANN 2000»
    A neural network architecture for automatic segmentation of fluorescence micrographs
    13 years 6 months ago
    A neural network architecture for automatic segmentation of fluorescence micrographs
    Download  www.dice.ucl.ac.be
    A system for the automatic segmentation of fluorescence micrographs is presented. In a first step positions of fluorescent cells are detected by a fast learning neural network, whi...
    Tim W. Nattkemper, Heiko Wersing, Walter Schubert,...
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    ECIS
    2000
    102views Information Technology» more  ECIS 2000»
    Different Pre-Processing Models for Financial Accounts when using Neural Networks for Auditing
    13 years 6 months ago
    Different Pre-Processing Models for Financial Accounts when using Neural Networks for Auditing
    Download  is2.lse.ac.uk
    The aim of this study is to investigate the impact of various pre-processing models on the forecast capability of artificial neural network (ANN) when auditing financial accounts. ...
    Eija Koskivaara
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