Switzerland's Green Liberal Party: a new party model for the environment?

Party on ! A New

Random forests are one of the most popular statistical learning algorithms, and a variety of methods for fitting random forests and related recursive partitioning approaches is available in R. This paper points out two important features of the random forest implementation cforest available in the party package: The resulting forests are unbiased and thus preferable to the randomForest implemen...

A New Measure for Party Coherence: Applying a Physics-Based Concept to the Swiss Party System

Web party effect: a cocktail party effect in the web environment

In goal-directed web navigation, labels compete for selection: this process often involves knowledge integration and requires selective attention to manage the dizziness of web layouts. Here we ask whether the competition for selection depends on all web navigation options or only on those options that are more likely to be useful for information seeking, and provide evidence in favor of the la...

A Model for Multi-party Negotiations

Our model of multi-party negotiations is a many parties, many issues model. The whole multi-party negotiation consists of a set of mutually influencing bilateral negotiations that are focused on different bilateral issues. We propose to use majority rule to help parties reach group agreements. When a party is not satisfied with another party’s negotiation progress, he can send a primitive oppos...

An artificial intelligence model based on LS-SVM for third-party logistics provider ‎selection

The use of third-party logistics (3PL) providers is regarded as new strategy in logistics management. The relationships by considering 3PL are sometimes more complicated than any classical logistics supplier relationships. These relationships have taken into account as a well-known way to highlight organizations' flexibilities to regard rapidly uncertain market conditions, follow core competenc...