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    CBMS
    2007
    IEEE
    395views Medical Imaging» more  CBMS 2007»
    Auto-Extraction, Representation and Integration of a Diabetes Ontology Using Bayesian Networks
    14 years 3 months ago
    Auto-Extraction, Representation and Integration of a Diabetes Ontology Using Bayesian Networks
    Download  seacoast.sunderland.ac.uk
    This paper describes how high level biological knowledge obtained from ontologies such as the Gene Ontology (GO) can be integrated with low level information extracted from a Baye...
    Kenneth McGarry, Sheila Garfield, Stefan Wermter
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    IJCAI
    2007
    271views Artificial Intelligence» more  IJCAI 2007»
    Integration of Hybrid Bio-Ontologies using Bayesian Networks for Knowledge Discovery
    13 years 10 months ago
    Integration of Hybrid Bio-Ontologies using Bayesian Networks for Knowledge Discovery
    Download  www.informatik.uni-hamburg.de
    This paper describes how high level biological knowledge obtained from ontologies such as the Gene Ontology (GO) can be integrated with low level information extracted from a Baye...
    Kenneth McGarry, Sheila Garfield, Nick Morris, Ste...
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    IEEEICCI
    2002
    IEEE
    122views Artificial Intelligence» more  IEEEICCI 2002»
    Mining Fuzzy Rules in A Donor Database for Direct Marketing by a Charitable Organization
    14 years 1 months ago
    Mining Fuzzy Rules in A Donor Database for Direct Marketing by a Charitable Organization
    Download  www4.comp.polyu.edu.hk
    Given a donor database by a charitable organization in Hong Kong, we propose to use a new data mining technique to discover fuzzy rules for direct marketing. The discovered fuzzy ...
    Keith C. C. Chan, Wai-Ho Au, Berry Choi
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    3DPVT
    2006
    IEEE
    136views Visualization» more  3DPVT 2006»
    Image Guided Geometry Inference
    14 years 2 months ago
    Image Guided Geometry Inference
    Download  graphics.cs.yale.edu
    We introduce a new method for filling holes in geometry obtained from 3D range scanners. Our method makes use of 2D images of the areas where geometric data is missing. The 2D im...
    Songhua Xu, Athinodoros S. Georghiades, Holly E. R...
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    MSOM
    2007
    118views more  MSOM 2007»
    What Can Be Learned from Classical Inventory Models? A Cross-Industry Exploratory Investigation
    13 years 8 months ago
    What Can Be Learned from Classical Inventory Models? A Cross-Industry Exploratory Investigation
    Download  opim.wharton.upenn.edu
    : Classical inventory models offer a variety of insights into the optimal way to manage inventories of individual products. However, top managers and industry analysts are often co...
    Sergey Rumyantsev, Serguei Netessine
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