BIOCHEMISTRY: Pattern Recognition

GA-Facilitated Knowledge Discovery and Pattern Recognition Optimization Applied to the Biochemistry of Protein Solvation

The authors present a GA optimization technique for cosinebased k-nearest neighbors classification that improves predictive accuracy in a class-balanced manner while simultaneously enabling knowledge discovery. The GA performs feature selection and extraction by searching for feature weights and offsets maximizing cosine classifier performance. GA-selected feature weights determine the relevanc...

pattern recognition in maintenance data using methodologies data minitng (cade study isfahan regional power electric company)

فعالیت های نگهداری و تعمیرات اطلاعاتی را تولید می کند که می تواند در تعیین زمان های بیکاری و ارایه یک برنامه زمان بندی شده یا تعیین هشدارهای خرابی به پرسنل نگهداری و تعمیرات کمک کند. وقتی که مقدار داده های تولید شده زیاد باشند، فهم بین متغیرها بسیار مشکل می شوند. این پایان نامه به کاربردی از داده کاوی برای کاوش پایگاه های داده چندبعدی در حوزه نگهداری و تعمیرات، برای پیدا کردن خرابی هایی که موجب...

Biochemistry and the sciences of recognition.

An account of the slow emergence of scientific insight is not in any straightforward way a reliable reflection of a life course. I do not intend here to be explicitly autobiographical but want nevertheless to reflect on whether there is a pattern that has unconsciously guided my scientific work. I believe there is one, if I neglect some noisy interludes. Like Moliere’s Monsieur Jourdain who was...

Pattern Recognition

Pattern Recognition

Closely related to the concept of Machine Learning, Pattern Recognition is the assignment of an output value, termed a label, to a given input value, termed an instance. This is achieved through the application of an algorithm, which usually falls into one of two general categories (although mixed techniques are beginning to be developed): supervised (requires a training set), and unsupervised,...