Recursive Feature Elimination (RFE) combined with feature ranking is an effective technique for eliminating irrelevant features when the feature dimension is large, but it is difficult to distinguish between relevant and redundant features. The usual method of determining when to stop eliminating features is based on either a validation set or cross-validation techniques. In this paper, we pres...

This is a survey of the information criterion approach to model selection problems. New results about context tree estimation and the estimation of the basic neighborhood of Markov random fields are also mentioned. 1. The model selection problem Let a stochastic process {Xt, t ∈ T } be given, where each Xt is a random variable with values a ∈ A, and T is an index set. The joint distribution of ...

Designing an effective criterion for selecting the best rule is a major problem in theprocess of implementing Fuzzy Learning Classifier (FLC) systems. Conventionally confidenceand support or combined measures of these are used as criteria for fuzzy rule evaluation. In thispaper new entities namely precision and recall from the field of Information Retrieval (IR)systems is adapted as alternative...

Technology assessment and selection has a substantial impact on organizations procedures in regards to technology transfer. Technological decisions are usually made by a group of experts, and whereby integrity of these viewpoints to a single decision can be quite complex. Today, operational databases and data warehouses exist to manage and organize data with specific features and henceforth, th...

one of the important decisions which impacts all firms’ activities is the supplier selection problem. since the 1950s, several works have addressed this problem by treating different aspects and instances. in this paper, a combined multiple criteria decision making (mcdm) technique (ea-promethee) has been applied to implement a proper decision making. to this aim, after reviewing the theoretica...