| Class Id | 8638 |
| Days | MW |
| Start time | 09:30 AM |
| End time | 10:50 AM |
| Building | EQUAB |
| Room | B418 |
| Course Id | 3825 |
| Dept and Number | ELE 571 |
| Area | |
| Title | Digital Neurocomputing |
| Description | The course will cover machine learning techniques & applications. Machine learning techniques topics: a) adaptive techniques for feature selection & dimension reduction, b) unsupervised cluster discovery: K-means, SOFM, hierarchical clustering, c) supervised classifiers e.g. linear discriminant analysis (LDA), support vector machines, & d) kernel-based clustering/classification techniques. Genomic and multimedia applications will be explored. |
| Prerequisites | |
| Professor | Sun-Yuan Kung |