Wyniki wyszukiwania:

Spectral Feature Selection for Data Mining introduces a novel feature selection technique that establishes a general platform for studying existing feature selection algorithms and developing new algorithms for emerging problems in real-world applications. This technique represents a unified framework for supervised, unsupervised, and semisupervised feature selection.

The book explores the latest research achievements, sheds light on new research directions, and stimulates readers to make the next creative breakthroughs. It presents the intrinsic ideas...

This book explores teachers’ cognitions about the teaching of writing in English as a foreign language (EFL) and their teaching practice, as well as factors influencing the formation and reformation process of their cognition. Taking stock of Bakhtin’s dialogism as the theoretical framework, the authors argue that the formation and reformation of teacher cognition is a dialogic process. A systematic analysis of participating teachers’ cognition formation and re-formation process suggests the highly individual nature of teachers’ cognitions. EFL researchers and teachers, teacher...