By identifying characteristic regions in which classes are dense and also relevant for discrimination a new, intuitive classification method is set up. This method enables a visualized result so the user is provided with an insight into the data with respect to discrimination for an easy interpretation. Additionally, it outperforms Decision trees in a lot of situations and is robust against out...

In this paper we address the problem of optimizing multi-period inventory in the case of uncertain demands. At each time period, the company produces a certain quantity of goods which is used to serve a client demand. The unit selling price was fixed in advance by contract for the time horizon and an expected value of the quantity to deliver at each time period is known. In case of overproducti...

We show that two alternative perspectives on how to deal with missing data in the context of the score-driven timevarying parameter models of Creal et al. (2013) and Harvey (2013) lead to precisely the same dynamic transition equations. As score-driven models encompass a wide variety of time-varying parameter models (including generalized autoregressive conditional volatility (GARCH) and durati...

Article history: Received 9 November 2006 Received in revised form 15 February 2008 Accepted 18 May 2008

Many solutions to cost-sensitive classification (and regression) rely on some or all of the following assumptions: we have complete knowledge about the cost context at training time, we can easily re-train whenever the cost context changes, and we have technique-specific methods (such as cost-sensitive decision trees) that can take advantage of that information. In this paper we address the pro...

Voting Advice Application (VAA) is a web application that recommends a candidate or a party to a voter. From an online questionnaire, which voters and candidates are called to answer, the VAA proposes to each individual voter the candidate who replied like him/her. It is very important the voters to reply in all questions of the questionnaire, because every question has its meaning and is respo...

User rating is obviously considered to be an important type of feedback information for Interactive Recommendation System (RecSys). The quality and credibility of user ratings will eventually influence the quality of recommendation. However, in the real world, there are usually many inconsistent (e.g., mistakes and missing values) or incorrect user ratings. Therefore, expert-based recommendatio...

Accurate prediction of the movement of spilled oil is important for a fast and effective response to an oil spill accident. To predict the dispersion of released oil, numerical models using physiochemical properties and/or environmental conditions as input data have been applied. The environmental conditions that are provided as observation data have values that vary depending on time and space...

Many solutions to cost-sensitive classification (and regression) rely on some or all of the following assumptions: we have complete knowledge about the cost context at training time, we can easily re-train whenever the cost context changes, and we have technique-specific methods (such as cost-sensitive decision trees) that can take advantage of that information. In this work we address the prob...

Imagine a website that asks the user to fill in a web form and – based on the input values – derives a relevant figure, for instance an expected salary, a medical diagnosis, or the market value of a house. How to deal with missing input values at run-time? Besides using fixed defaults, a more sophisticated approach is to use predefined dependencies (logical or correlational) between different f...