Military Simulator-A Case Study
... of combination of Behaviour Tree and Utility Based AI architecture can be used to interpret the probable results of certain situation & designing more realistic platform for Military Simulators. In this work, we have designed a situation based simulator system in unity 3D using RAIN, an addon for Un ...
... of combination of Behaviour Tree and Utility Based AI architecture can be used to interpret the probable results of certain situation & designing more realistic platform for Military Simulators. In this work, we have designed a situation based simulator system in unity 3D using RAIN, an addon for Un ...
GSN06 - CSE
... long time. They tend to stay in a state that is not exactly static, and move within a short range, for which we call the quasi-static state. For example, many people move within an office building during the day and stay at home at night for a long period of time. ...
... long time. They tend to stay in a state that is not exactly static, and move within a short range, for which we call the quasi-static state. For example, many people move within an office building during the day and stay at home at night for a long period of time. ...
A comparison of NIPALS algorithm with two other missing
... [1,2,3]; some are considered to be naïve and outdated such as complete case analysis which only analyses the existing cases, simple imputation which consists of filling the missing cases with the mean or the median of the observed values of the same variable which is commonly used because of its sim ...
... [1,2,3]; some are considered to be naïve and outdated such as complete case analysis which only analyses the existing cases, simple imputation which consists of filling the missing cases with the mean or the median of the observed values of the same variable which is commonly used because of its sim ...
SAS Regression Examples
... Simple Linear Regression We now fit a linear regression model, with CHOL as the Y (dependent or outcome) variable and AGE as the X (independent or predictor) variable, using Proc Reg. We first illustrate the most basic Proc Reg syntax, and then show some useful options. The Quit statement is used t ...
... Simple Linear Regression We now fit a linear regression model, with CHOL as the Y (dependent or outcome) variable and AGE as the X (independent or predictor) variable, using Proc Reg. We first illustrate the most basic Proc Reg syntax, and then show some useful options. The Quit statement is used t ...
clweb.csa.iisc.ernet.in
... Computational Chemistry. Modeling large systems of molecules usually associated with Biology. Benchmark Description: The benchmark runs molecular dynamics (i.e. solves the ODE defined by Newton's equations for the motions of the atoms in the system) on a protein-inhibitor complex which is embedded i ...
... Computational Chemistry. Modeling large systems of molecules usually associated with Biology. Benchmark Description: The benchmark runs molecular dynamics (i.e. solves the ODE defined by Newton's equations for the motions of the atoms in the system) on a protein-inhibitor complex which is embedded i ...
A Heart Disease Prediction Model using SVM
... on the basis of sensitivity, specificity, and accuracy. From these, conclusions to the most effective model, the efficacy of conjoint models, and the final accuracy of the overall model can be drawn. ...
... on the basis of sensitivity, specificity, and accuracy. From these, conclusions to the most effective model, the efficacy of conjoint models, and the final accuracy of the overall model can be drawn. ...
Mining Multi-label Data by Grigorios Tsoumakas, Ioannis Katakis
... • Applications in ranking web pages. Web pages are often multi labeled. For example “cooking” and “food network” and “iron chef” might all apply to the same page. How do you rank and classify that along other pages that have some of the same labels, but not all of the same labels? ...
... • Applications in ranking web pages. Web pages are often multi labeled. For example “cooking” and “food network” and “iron chef” might all apply to the same page. How do you rank and classify that along other pages that have some of the same labels, but not all of the same labels? ...
Statistical Analysis of Repeated Measures Data Using SAS (and R)
... This is termed Missing At Random, and is equivalent to saying that the behaviour of two units who share observed values have the same statistical behaviour on the other observations, whether observed or not. ...
... This is termed Missing At Random, and is equivalent to saying that the behaviour of two units who share observed values have the same statistical behaviour on the other observations, whether observed or not. ...
