Combining predictions from multiple sources or models has been shown to be a useful technique in data mining. For example, in network anomaly detection, multiple detectors’ output have to be combined to obtain the diagnostic decisions. Unfortunately, as data are generated at an increasingly high speed, existing prediction aggregation methods are facing new challenges. First, the high velocity a...

Pattern recognition tools: • Discriminant functions a set of linear/quadratic functions of the data; the functions are evaluated for each new observation, the observation is assigned to the class having the highest discriminant value • Gaussian mixture models trained by expectation maximization; find the class that maximizes the likelihood of the test observations (acoustic features of successi...

There is much empirical evidence that human decisionmaking under risk does not coincide with expected value maximization, and much effort has been invested into the development of descriptive theories of human decision-making involving risk (e.g. Prospect Theory). An open question is how behavior corresponding to these descriptive models could have been learned or arisen evolutionarily, as the ...

Abstract Customer Lifetime Value (CLV) is known as an important concept in marketing and management of organizations to increase the captured profitability. Total value that a customer produces during his/her lifetime is named customer lifetime value. The generated value can be calculated through different methods. Each method considers different parameters. Due to the industry, firm, business...

where E(w) is the value of the worker if matched at a wage w, J(w) is the value of the firm if matched at that wage, U is the worker’s threat point (unemployment) and V is the firm’s threat point (vacancy). If the derivative of E and J with respect to w is the same, as is the case in many search models without on-the-job search and with risk-neutral workers, then maximization of the Nash produc...

Maximum entropy models are often used to describe supply and demand behavior in urban transportation and land use systems. However, they have been criticized for not representing behavioral rules of system agents and because their parameters seems to adjust only to modeler-imposed constraints. In response, it is demonstrated that the solution to the entropy maximization problem with linear cons...