This essay gives advice to authors of papers on machine learning, although much of it carries over to other computational disciplines. The issues covered include the material that...
Cognitive modeling with neural networks unrealistically ignores the role of knowledge in learning by starting from random weights. It is likely that effective use of knowledge by ...
This book covers several topics such as Classification, Classical Statistical Methods, Modern Statistical Techniques, Machine Learning of Rules and Trees, Neural Networks
Methods ...
This paper constructs a conceptual structure for organizational learning and organizational performance based on the core competitive capability view. Based on the research of org...
This paper will concentrate on how teacher can support learners in creating their own learning tools conducive to learning. Authors will discuss how the journey in creating differ...