A new associative classification algorithm based on weighted voting (ACWV) is presented. ACWV takes advantage of two methods: the optimal rule method preferring high-quality rules and the voting method considering the majority of the rules. Moreover, the method takes into account both the length and convictions of rules to calculate their weights. First, ACWV builds a class-count FPtree (called...

Participatory budgeting (PB) is a democratic paradigm whereby voters decide on set of projects to fund with limited budget. We consider PB in setting where report ordinal preferences over and have (possibly) asymmetric weights. propose proportional representation axioms clarify how they fit into other preference aggregation settings, such as multi-winner voting approval-based voting. As result ...

Dynamic models of learning and adaptation have provided realistic predictions in terms of voting behavior. This study aims at contributing to their scant empirical verification. We develop a learning algorithm based on bounded rationality estimating the pattern of learning process through a two-stage econometric model. The analysis links voting behavior to past choices and economic satisfaction...

In this paper we propose a method for locating the optic disc (OD) in retinal images automatically using a generalization of majority voting scheme. Applying more different optic disc detectors for voting we can achieve better performance for the automatic detection system than for each individual algorithm. The location with maximum number of OD center candidates falling within a radius predef...

In this paper, we describe a robust method for the estimation of curvature on a triangle mesh, where this mesh is a discrete approximation of a piecewise smooth surface. The proposed method avoids the computationally expensive process of surface fitting and instead employs normal voting to achieve robust results. This method detects crease discontinuities on the surface to improve estimates nea...

The massive amount of raw student’s data in the education organization can be converted into the information and buried knowledge can be taken out of it for the purpose various applications related to students. As the student’s data in the educational systems is increasing day by day, so instead of classical batch learning algorithm, incremental learning algorithm tries to forget unrelated info...

An election is a process through which citizens in liberal democracies select their governing bodies, usually through voting. For elections to be truly honest, people must be able to vote freely without being subject to coercion; that is why voting is usually done in a private manner. In this paper we analyze the security offered by a paper-ballot voting system that is used in Israel, as well a...