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    IAAI
    2003
    118views Artificial Intelligence» more  IAAI 2003»
    A Probabilistic Vehicle Diagnostic System Using Multiple Models
    14 years 6 days ago
    A Probabilistic Vehicle Diagnostic System Using Multiple Models
    Download  ddl.stanford.edu
    In addition to being accurate, it is important that diagnostic systems for use in automobiles also have low development and hardware costs. Model-based methods have shown promise ...
    Matthew L. Schwall, J. Christian Gerdes, Bernard B...
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    IJCAI
    2001
    102views Artificial Intelligence» more  IJCAI 2001»
    Leveraging Data About Users in General in the Learning of Individual User Models
    14 years 7 days ago
    Leveraging Data About Users in General in the Learning of Individual User Models
    Download  dfki.de
    Models of computer users that are learned on the basis of data can make use of two types of information: data about users in general and data about the current individual user. Fo...
    Anthony Jameson, Frank Wittig
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    FLAIRS
    2006
    111views Artificial Intelligence» more  FLAIRS 2006»
    Modeling Bayesian Networks for Autonomous Diagnosis of Web Services
    14 years 7 days ago
    Modeling Bayesian Networks for Autonomous Diagnosis of Web Services
    Download  www.aaai.org
    We took an innovative approach to service level management for network enterprise systems by using integrated monitoring, diagnostics, and adaptation services in a service-oriente...
    Haiqin Wang, Guijun Wang, Alice Chen, Changzhou Wa...
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    FLAIRS
    2004
    111views Artificial Intelligence» more  FLAIRS 2004»
    Mining Bayesian Networks to Forecast Adverse Outcomes Related to Acute Coronary Syndrome
    14 years 7 days ago
    Mining Bayesian Networks to Forecast Adverse Outcomes Related to Acute Coronary Syndrome
    Download  www.aaai.org
    One fascinating aspect of tool building for datamining is the application of a generalized datamining tool to a specific domain. Often times, this process results in a cross disci...
    Andy Novobilski, Francis M. Fesmire, David Sonnema...
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    DMIN
    2006
    125views Data Mining» more  DMIN 2006»
    Privacy-Preserving Bayesian Network Learning From Heterogeneous Distributed Data
    14 years 7 days ago
    Privacy-Preserving Bayesian Network Learning From Heterogeneous Distributed Data
    Download  ww1.ucmss.com
    In this paper, we propose a post randomization technique to learn a Bayesian network (BN) from distributed heterogeneous data, in a privacy sensitive fashion. In this case, two or ...
    Jianjie Ma, Krishnamoorthy Sivakumar
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    BIOCOMP
    2006
    233views Bioinformatics» more  BIOCOMP 2006»
    Dynamic Bayesian Network (DBN) with Structure Expectation Maximization (SEM) for Modeling of Gene Network from Time Series Gene
    14 years 7 days ago
    Dynamic Bayesian Network (DBN) with Structure Expectation Maximization (SEM) for Modeling of Gene Network from Time Series Gene
    Download  ww1.ucmss.com
    Exploring gene regulatory network is a key topic in molecular biology. In this paper, we present a new dynamic Bayesian network (DBN) framework embedded with structural expectatio...
    Yu Zhang, Zhidong Deng, Hongshan Jiang, Peifa Jia
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    AAAI
    2006
    101views Intelligent Agents» more  AAAI 2006»
    Performing Incremental Bayesian Inference by Dynamic Model Counting
    14 years 7 days ago
    Performing Incremental Bayesian Inference by Dynamic Model Counting
    Download  www.aaai.org
    The ability to update the structure of a Bayesian network when new data becomes available is crucial for building adaptive systems. Recent work by Sang, Beame, and Kautz (AAAI 200...
    Wei Li 0002, Peter van Beek, Pascal Poupart
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    WCET
    2008
    107views Software Engineering» more  WCET 2008»
    INFER: Interactive Timing Profiles based on Bayesian Networks
    14 years 8 days ago
    INFER: Interactive Timing Profiles based on Bayesian Networks
    Download  drops.dagstuhl.de
    We propose an approach for timing analysis of software-based embedded computer systems that builds on the established probabilistic framework of Bayesian networks. We envision an ...
    Michael Zolda
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    UAI
    2008
    185views Artificial Intelligence» more  UAI 2008»
    Learning Arithmetic Circuits
    14 years 8 days ago
    Learning Arithmetic Circuits
    Download  www.cs.washington.edu
    Graphical models are usually learned without regard to the cost of doing inference with them. As a result, even if a good model is learned, it may perform poorly at prediction, be...
    Daniel Lowd, Pedro Domingos
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    MEDINFO
    2007
    132views Healthcare» more  MEDINFO 2007»
    Comparing Decision Support Methodologies for Identifying Asthma Exacerbations
    14 years 8 days ago
    Comparing Decision Support Methodologies for Identifying Asthma Exacerbations
    Download  www.cs.mtu.edu
    Objective: To apply and compare common machine learning techniques with an expert-built Bayesian Network to determine eligibility for asthma guidelines in pediatric emergency depa...
    Judith W. Dexheimer, Laura E. Brown, Jeffrey Leego...
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