Do not let the dead bite! Different scenarios of the zombie epidemic
... Zombies (Z) – those who lost an encounter with a zombie or were resurrected, Quarantined (Q) – those under hospitalization, Removed (R) – those who died after an encounter with a zombie or permanently killed zombies (decapitation), Unaffected (U ) – those who are immune to the “zombie virus” forever ...
... Zombies (Z) – those who lost an encounter with a zombie or were resurrected, Quarantined (Q) – those under hospitalization, Removed (R) – those who died after an encounter with a zombie or permanently killed zombies (decapitation), Unaffected (U ) – those who are immune to the “zombie virus” forever ...
CV - Claremont McKenna College
... Research Area Monte Carlo simulation for statistical applications, approximation algorithms, and numerical integration. Design and analysis of new sampling methods that draw variates exactly from high-dimensional target distributions, and more efficient methods for utilizing these samples. ...
... Research Area Monte Carlo simulation for statistical applications, approximation algorithms, and numerical integration. Design and analysis of new sampling methods that draw variates exactly from high-dimensional target distributions, and more efficient methods for utilizing these samples. ...
On Recognizing Music Using HMM
... Do not give a definite answer but will smooth the transition between states ...
... Do not give a definite answer but will smooth the transition between states ...
Uncertainty Modeling to Relate Component Assembly Uncertainties to Physics-Based Model Parameters
... model changes when the portion of the geometry changes. The finite element model can be recreated from a solid model or finite element model preprocessing software. In many cases legacy finite element models are used where the solid model is no longer available. The NESSUS® geometric uncertainty mod ...
... model changes when the portion of the geometry changes. The finite element model can be recreated from a solid model or finite element model preprocessing software. In many cases legacy finite element models are used where the solid model is no longer available. The NESSUS® geometric uncertainty mod ...
A Standard Measure of Mobility for Evaluating Mobile Ad Hoc
... Performance Measure (Cont.) The study approached in this paper is a solution for unified quantitative measure of mobility. ...
... Performance Measure (Cont.) The study approached in this paper is a solution for unified quantitative measure of mobility. ...
Nonlinear Least Squares Data Fitting
... obtained if a very large, or even infinite, data set had been collected. For example, it is common to assume that the expected value of the errors is zero, that is, that the data are unbiased. Also, it is common to assume that the errors all have the same variance (perhaps unknown), and that the erro ...
... obtained if a very large, or even infinite, data set had been collected. For example, it is common to assume that the expected value of the errors is zero, that is, that the data are unbiased. Also, it is common to assume that the errors all have the same variance (perhaps unknown), and that the erro ...
mining on car database employing learning and clustering algorithms
... clustering algorithms but we are using the CAR dataset to differentiate between K-Means Algorithm and SOM because of them having very similar characteristics and implementations. K-Means Clustering [3][15] is the most vividly used clustering algorithm and is one among the oldest too. It is a prototy ...
... clustering algorithms but we are using the CAR dataset to differentiate between K-Means Algorithm and SOM because of them having very similar characteristics and implementations. K-Means Clustering [3][15] is the most vividly used clustering algorithm and is one among the oldest too. It is a prototy ...
Applying Analytics to Search Engine Marketing (SEM)
... Trees carve up & cover completely the multi-dimensional space – enabling us to assign any new record to an outcome based on which region it falls into. Robust/insensitive to outliers, missing values, & skewed data distributions Non-parametric: do not assume that the dependent variable follows ...
... Trees carve up & cover completely the multi-dimensional space – enabling us to assign any new record to an outcome based on which region it falls into. Robust/insensitive to outliers, missing values, & skewed data distributions Non-parametric: do not assume that the dependent variable follows ...
Computer simulation
A computer simulation is a simulation, run on a single computer, or a network of computers, to reproduce behavior of a system. The simulation uses an abstract model (a computer model, or a computational model) to simulate the system. Computer simulations have become a useful part of mathematical modeling of many natural systems in physics (computational physics), astrophysics, climatology, chemistry and biology, human systems in economics, psychology, social science, and engineering. Simulation of a system is represented as the running of the system's model. It can be used to explore and gain new insights into new technology and to estimate the performance of systems too complex for analytical solutions.Computer simulations vary from computer programs that run a few minutes to network-based groups of computers running for hours to ongoing simulations that run for days. The scale of events being simulated by computer simulations has far exceeded anything possible (or perhaps even imaginable) using traditional paper-and-pencil mathematical modeling. Over 10 years ago, a desert-battle simulation of one force invading another involved the modeling of 66,239 tanks, trucks and other vehicles on simulated terrain around Kuwait, using multiple supercomputers in the DoD High Performance Computer Modernization ProgramOther examples include a 1-billion-atom model of material deformation; a 2.64-million-atom model of the complex maker of protein in all organisms, a ribosome, in 2005;a complete simulation of the life cycle of Mycoplasma genitalium in 2012; and the Blue Brain project at EPFL (Switzerland), begun in May 2005 to create the first computer simulation of the entire human brain, right down to the molecular level.Because of the computational cost of simulation, computer experiments are used to perform inference such as uncertainty quantification.