Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems

Херши : IGI Global, 2012.

Найденова К., Игнатов Д. И.

The consideration of symbolic machine learning algorithms as an entire class will make it possible, in the future, to generate algorithms, with the aid of some parameters, depending on the initial users’ requirements and the quality of solving targeted problems in domain applications.

Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems surveys, analyzes, and compares the most effective algorithms for mining all kinds of logical rules. Global academics and professionals in related fields have come together to create this unique knowledge-sharing resources which will serve as a forum for future collaborations.

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Bimodal Cross-Validation Approach for Recommender Systems Diagnostics

Игнатов Д. И., Пульманс Й., , in: Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems.: Hershey: IGI Global, 2012. Ch. 8 P. 185–195.

Recommender systems are becoming an inseparable part of many modern Internet web sites and web shops. The quality of recommendations made may significantly influence the browsing experience of the user and revenues made by web site owners. Developers can choose between a variety of recommender algorithms; unfortunately no general scheme exists for evaluation of their ...

Добавлено: 3 декабря 2012 г.

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