Examples of BayesNet

aima.core.probability.bayes.impl.BayesNet
Default implementation of the BayesianNetwork interface. @author Ciaran O'Reilly @author Ravi Mohan

weka.classifiers.bayes.BayesNet

eforge.net/projects/weka/files/documentation/WekaManual-3-6-1.pdf/download

Valid options are:

 -D Do not use ADTree data structure

 -B <BIF file> BIF file to compare with

 -Q weka.classifiers.bayes.net.search.SearchAlgorithm Search algorithm

 -E weka.classifiers.bayes.net.estimate.SimpleEstimator Estimator algorithm

@author Remco Bouckaert (rrb@xm.co.nz) @version $Revision: 5725 $

Examples of aima.core.probability.bayes.impl.BayesNet

            // R_t = false, U_t = true
            0.2,
            // R_t = false, U_t = false
            0.8 }, rain_t);


    return new FiniteBayesModel(new BayesNet(rain_tm1));
  }

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Examples of aima.core.probability.bayes.impl.BayesNet

        1.0 / 6.0 });
    FiniteNode dice2 = new FullCPTNode(ExampleRV.DICE_2_RV, new double[] {
        1.0 / 6.0, 1.0 / 6.0, 1.0 / 6.0, 1.0 / 6.0, 1.0 / 6.0,
        1.0 / 6.0 });


    return new BayesNet(dice1, dice2);
  }

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Examples of aima.core.probability.bayes.impl.BayesNet

        // C=false, Catch=true
        0.2,
        // C=false, Catch=false
        0.8 }, cavity);


    return new BayesNet(cavity);
  }

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Examples of aima.core.probability.bayes.impl.BayesNet

            // cloudy
            0.29,
            // snow
            0.01 });


    return new BayesNet(cavity, weather);
  }

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Examples of aima.core.probability.bayes.impl.BayesNet

            0.009986199723994478,
            // M=false, S=false
            0.9900138002760055


        }, meningitis);
    return new BayesNet(meningitis);
  }

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Examples of aima.core.probability.bayes.impl.BayesNet

            // A=false, M=true
            0.01,
            // A=false, M=false
            0.99 }, alarm);


    return new BayesNet(burglary, earthquake);
  }

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Examples of aima.core.probability.bayes.impl.BayesNet

            // Sprinkler=false, Rain=false, WetGrass=true
            0.0,
            // Sprinkler=false, Rain=false, WetGrass=false
            1.0 }, sprinkler, rain);


    return new BayesNet(cloudy);
  }

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Examples of aima.core.probability.bayes.impl.BayesNet

   */
  public static DynamicBayesianNetwork getUmbrellaWorldNetwork() {
    FiniteNode prior_rain_tm1 = new FullCPTNode(ExampleRV.RAIN_tm1_RV,
        new double[] { 0.5, 0.5 });


    BayesNet priorNetwork = new BayesNet(prior_rain_tm1);


    // Prior belief state
    FiniteNode rain_tm1 = new FullCPTNode(ExampleRV.RAIN_tm1_RV,
        new double[] { 0.5, 0.5 });
    // Transition Model

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Examples of aima.core.probability.bayes.impl.BayesNet

        1.0 / 6.0 });
    FiniteNode dice2 = new FullCPTNode(ExampleRV.DICE_2_RV, new double[] {
        1.0 / 6.0, 1.0 / 6.0, 1.0 / 6.0, 1.0 / 6.0, 1.0 / 6.0,
        1.0 / 6.0 });


    return new BayesNet(dice1, dice2);
  }

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Examples of aima.core.probability.bayes.impl.BayesNet

        // C=false, Catch=true
        0.2,
        // C=false, Catch=false
        0.8 }, cavity);


    return new BayesNet(cavity);
  }

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