Course Schedule - Fall Semester 2017

     

COMP 602 001 (CRN: 16822)

NEURAL MACHINE LEARNING II

Long Title: NEURAL MACHINE LEARNING AND DATA MINING II
Department: Computer Science
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
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: 49
Section Enrolled: 3
Total Cross-list Max Enrollment: 49
Total Cross-list Enrolled: 4
Enrollment data as of: 2-APR-2020 5:24AM
 
Fees: None
 
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. Repeatable for Credit.