Course Schedule and Catalog
Course Schedule - Fall Semester 2017
STAT 602 001 (CRN: 16821)
NEURAL MACHINE LEARNING II
Long Title: NEURAL MACHINE LEARNING AND DATA MINING II
Department: Statistics
Instructor: Merenyi, Erzsebet
Meeting: 4:00PM - 5:15PM TR DCH 1075 (21-AUG-2017 - 1-DEC-2017)
Session: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Language of Instruction: Taught in English
Method of Instruction: Face to Face
Credit Hours: 3
Course Syllabus:
Course Materials: Rice Campus Store
Restrictions:
Must be enrolled in one of the following Level(s):
Graduate
Prerequisites: ELEC 502 OR COMP 502 OR STAT 502 or permission of instructor
Section Max Enrollment: 15
Section Enrolled: 1
Total Cross-list Max Enrollment: 49
Total Cross-list Enrolled: 4
Enrollment data as of: 26-SEP-2023 5:22AM
Final Exam: GR Course-Dept Schedules Exam
Description: Advanced topics in ANN theories, with a focus on learning high-dimensional complex manifolds with neural maps (Self-Organizing Maps, Learning Vector Quantizers and variants). Application to data mining, clustering, classification, dimension reduction, sparse representation. The course will be a mix of lectures and seminar discussions with active student participation, based on most recent research publications. Students will have access to professional software environment to implement theories. Cross-list: ELEC 602, COMP 602. Repeatable for Credit.