In the underwriting and pricing of nonlife insurance products, it is essential for insurer to utilize both policyholder information claim history ensure profitability proper risk management. this paper, we apply a flexible regression model with random effects, called Mixed Logit-weighted Reduced Mixture-of-Experts, which leverages their history, categorize policyholders into groups similar prof...

Two machine learning approaches: mixture of experts and AdaBoost.R2 were adjusted to the real-world regression problem of predicting the prices of residential premises based on historical data of sales/purchase transactions. The computationally intensive experiments were conducted aimed to compare empirically the prediction accuracy of ensemble models generated by the methods. The analysis of t...

Presently, there are many models to predict the trend of a time series. However, different models have different prediction ability. Combinations of these models may provide a better performance than those provided by individuals. In this paper, experts are constructed by choosing different architectural parameters of two modified network models: Buffered Back-Propagation and Improved Clusnet. ...

Models for the prediction of user judgments from interaction data can be used in different contexts such as system quality assessment, monitoring of deployed systems, or as a reward function in learned dialog managers. Such models still show a considerable lack with respect to their generalizability [6]. This paper specifically addresses this issue. We propose to use a Mixture of Experts approa...

In this paper we derive an upper bound for the average-case generalization error of the mixture of experts modular neural network, based on an average-case generalization error bound for an isolated neural network. By doing this we also generalize a previous bound for this architecture that was restricted to special problems. We also present a correction factor for the original average generali...

A method for recognition of Persian handwritten digits based on characterization loci and mixture of experts is proposed. This method utilizes the characterization loci, as the main feature. In the classification stage of our proposed method the mixture of experts are applied. This recognition method is applied to Farsi hand-written digits in the HODA database. The experimental results support ...

A voting bloc is defined to be a group of voters who have similar voting preferences. The cleavage of the Irish electorate into voting blocs is of interest. Irish elections employ a “single transferable vote” electoral system; under this system voters rank some or all of the electoral candidates in order of preference. These rank votes provide a rich source of preference information from which ...

A mixture of local experts consists of a set of specialized models each of which is responsible for a particular local region of input space. Many algorithms in this class, for example M5 model tree, are sub-optimal (greedy). An algorithm for building optimal local mixtures of regression experts is proposed, and compared to MLP ANN on a number of cases.

This paper addresses the issue of identifying persons with expertise knowledge on a given topic. Traditional methods usually estimate the relevance between the query and the support documents of candidate experts using, for example, a language model. However, the language model lacks the ability of identifying semantic knowledge, thus results in some right experts cannot be found due to not occ...