... Credit risk evaluation model with textual features from loan descriptions ... using neural networks , support vector machines , and decision trees . North ... Three - stage reject inference learning framework for credit scoring using ...

From the Foreword: This book is a result of an international challenge on Unsupervised and Transfer Learning (UTL) that culminated in a workshop of the same name at the ICML-2011 conference in Bellevue, Washington, on July 2, 2011; it ...

The book contains a description of practical problems encountered in building, using, and monitoring scorecards and examines some of the country-specific issues in bankruptcy, equal opportunities, and privacy legislation.

This self-contained, comprehensive reference text describes the standard algorithms and demonstrates how these are used in different transfer learning paradigms.

"This book investiges machine learning (ML), one of the most fruitful fields of current research, both in the proposal of new techniques and theoretic algorithms and in their application to real-life problems"--Provided by publisher.

... in this century. It has laid a foundation for the understanding of global atmospheric, oceanic and climatic processes, so that the world-wide effects of man's pollution of the environment can be assessed in a reasonable way. From this ...

​After the recent financial crisis has hooked the banking system to its very foundations, Hartmut Brinkmeyer contributes to the question of how bank characteristics influence bank loan supply during crisis periods by developing a well ...

An authoritative, up-to-date graduate textbook on machine learning that highlights its historical context and societal impacts Patterns, Predictions, and Actions introduces graduate students to the essentials of machine learning while ...

This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics.