Markov decision process

lines, or queues. In queueing theory a model is constructed so that queue lengths and waiting time can be predicted. Queueing theory is generally considered a branch of operations research because the results are often used when making business decisions about the resources needed to provide a service. EDF (Earliest Deadline First) has been proved to be optimal scheduling algorithm for single processor realtime operating systems when the systems are preemptive and underloaded. The limitation of this

Random forests are an ensemble of Decision Trees. This algorithm trains multiple decision trees and has them vote on the final output of the model. Pros of this algorithms are that it is very unlikely to overfit. In order for overfitting to occur, a majority of classifiers would have to misclassify an instance,

accelerated need for the hospital to discharge Mr. Mitchell and is supported by a member of the medical staff explaining, “It’s busy in the ER this afternoon, and we need a bed.” (Scales & Wolfer, 2006, p. 104). The hospital’s pushing of the discharge process in an effort to free bed space, leaves Diana and the other social workers little time to fully create a plan that will make the transition from hospital to home much more manageable. In justifying Mr. Mitchell’s expedited discharge through the need

introduction to probability, decision analysis, the Markov Process, building spreadsheet models, time analysis and linear programming applications in marketing and finance. 5. Business Ethics Business Ethics is another important college textbook written by Peter Stanwick. The book is filled with real world case studies on different businesses and business situations. Understand the ethics of business helps students, employees and managers to make ethical decisions in today’s complex world. The

There is a growing number of research in which NLP practices are utilized. Ryan et al. (2015) applied techniques from NLP by employing a bottom-up approach to game studies. The authors introduced a LSA model that establishes the first application of a bottom-up method to the domain of digital games. LSA is a statistical method where words are ascribed semantic descriptions based on their contextual distributions across a large collection of text (corpus) (Landauer & Dumais, 1997). It determines how

Big data is defined as high-volume, high-velocity and high-variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision making (Gartner IT Glossary, n.d.). IBM added a term Veracity as the fourth V to describe the unreliability characteristic of data in certain areas (Gandomi & Haider, 2015). Big data comes from various sources such as text, social media websites, images, audios, videos, e-commerce transactions, mobile devices

Analytic Hierarchy Process and Analytic Network Process There are several methods to solve multi-criteria decision-making problems. Analytic Hierarchy Process (AHP) and Analytic Network Process (ANP) are two methods created by Tomas Saaty. AHP endeavor to solve the decision making problem by formed it in a hierarchy while ANP is used when the problem is so complex that cannot be formed as a hierarchy. This complexity happens because of the effect of criteria between each other or the effect of alternatives

2.3.2 MCDA Models Related to Thesis Analytic Hierarchy Process and Analytic Network Process There are different methods to solve multi-criteria decision-making problems. Analytic Hierarchy Process (AHP) and Analytic Network Process (ANP) are two methods introduced by Tomas Saaty. AHP tries to solve the decision problem by modeling it in a hierarchy while ANP is used when the problem is so complex that cannot be modeled as a hierarchy. This complexity occurs because of the effect of criteria on

CNN Architecture: U-NET Built upon the ‘fully convolutional network’ paradigm, it supplements the contracting network with successive layers of upsampling operators instead of pooling operators; this provides the network with the power to localize the learning. The architecture consists of contracting and expanding paths as seen in fig. The contraction path reduces the original image through a series of convolutions, ReLU and maxpooling to extract relevant features. This is followed by an expansion

solve multi-criteria decision-making problems. Analytic Hierarchy Process (AHP) and Analytic Network Process (ANP) are two methods created by Tomas Saaty. AHP endeavor to solve the decision making problem by formed it in a hierarchy while ANP is used when the problem is so complex that cannot be formed as a hierarchy. This complexity happens because of the effect of criteria between each other or the effect of alternatives on criteria. Generally we can say The Analytic Network Process is a generalization